diff --git a/__init__.pyc b/__init__.pyc
index d1c94d3..57355ef 100644
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diff --git a/q01_pipeline/__init__.pyc b/q01_pipeline/__init__.pyc
index b360a57..0e880cc 100644
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diff --git a/q01_pipeline/build.py b/q01_pipeline/build.py
index 96beca7..52d3f7b 100644
--- a/q01_pipeline/build.py
+++ b/q01_pipeline/build.py
@@ -9,5 +9,29 @@
 bank = pd.read_csv('data/Bank_data_to_class.csv', sep=',')
 
 # Write your solution here :
+y = bank['y']
+X = bank.drop(['y'], axis=1)
 
+X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=9)
+# Write your solution here :
+model = RandomForestClassifier(random_state=9,class_weight = 'balanced')
 
+def pipeline(X_train, X_test, y_train, y_test,model):
+    param_grid = {"max_depth": [2, 3, 5, 6, 8, 10, 15, 20, 30],
+              "max_leaf_nodes": [2, 5, 10, 15, 20],
+              "max_features": [8,10,12,14]}
+    grid = GridSearchCV(estimator=model,param_grid=param_grid)
+    le = LabelEncoder()
+    y_train=le.fit_transform(y_train)
+    for column in X_train.columns:
+        if X_train[column].dtype == type(object):
+            le = LabelEncoder()
+            X_train[column] = le.fit_transform(X_train[column])
+    y_test=le.fit_transform(y_test)
+    for column in X_test.columns:
+        if X_test[column].dtype == type(object):
+            le = LabelEncoder()
+            X_test[column] = le.fit_transform(X_test[column])
+    grid.fit(X_train, y_train)
+    auc= roc_auc_score(y_test, grid.predict(X_test))
+    return grid.fit(X_train, y_train),auc
diff --git a/q01_pipeline/build.pyc b/q01_pipeline/build.pyc
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diff --git a/q01_pipeline/tests/__init__.pyc b/q01_pipeline/tests/__init__.pyc
index b2f2c5b..821c412 100644
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diff --git a/q01_pipeline/tests/test_q01_pipeline.pyc b/q01_pipeline/tests/test_q01_pipeline.pyc
index 109bce3..edb3bf6 100644
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diff --git a/quickstarts/Prompting.ipynb b/quickstarts/Prompting.ipynb
new file mode 100644
index 0000000..c7824ae
--- /dev/null
+++ b/quickstarts/Prompting.ipynb
@@ -0,0 +1,1685 @@
+{
+  "cells": [
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "view-in-github",
+        "colab_type": "text"
+      },
+      "source": [
+        "<a href=\"https://colab.research.google.com/github/satishkhanna/Challenges_in_Machine_Learning_project/blob/master/quickstarts/Prompting.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "Tce3stUlHN0L"
+      },
+      "source": [
+        "##### Copyright 2024 Google LLC."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "cellView": "form",
+        "id": "tuOe1ymfHZPu"
+      },
+      "outputs": [],
+      "source": [
+        "# @title Licensed under the Apache License, Version 2.0 (the \"License\");\n",
+        "# you may not use this file except in compliance with the License.\n",
+        "# You may obtain a copy of the License at\n",
+        "#\n",
+        "# https://www.apache.org/licenses/LICENSE-2.0\n",
+        "#\n",
+        "# Unless required by applicable law or agreed to in writing, software\n",
+        "# distributed under the License is distributed on an \"AS IS\" BASIS,\n",
+        "# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n",
+        "# See the License for the specific language governing permissions and\n",
+        "# limitations under the License."
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "yeadDkMiISin"
+      },
+      "source": [
+        "# Gemini API: Prompting Quickstart\n",
+        "\n",
+        "<table align=\"left\">\n",
+        "  <td>\n",
+        "    <a target=\"_blank\" href=\"https://colab.research.google.com/github/google-gemini/cookbook/blob/main/quickstarts/Prompting.ipynb\"><img src=\"https://github.com/google-gemini/cookbook/blob/main/images/colab_logo_32px.png?raw=1\" />Run in Google Colab</a>\n",
+        "  </td>\n",
+        "</table>"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "dpOYALec6N8Z"
+      },
+      "source": [
+        "This notebook contains examples of how to write and run your first prompts with the Gemini API."
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "gvkDhXtHgol7"
+      },
+      "source": [
+        "## Learn more\n",
+        "\n",
+        "There's lots more to learn!\n",
+        "\n",
+        "* For more fun prompts, check out [Market a Jetpack](https://github.com/google-gemini/cookbook/blob/main/examples/Market_a_Jet_Backpack.ipynb).\n",
+        "* Check out the [safety quickstart](https://github.com/google-gemini/cookbook/blob/main/quickstarts/Safety.ipynb) next to learn about the Gemini API's configurable safety settings, and what to do if your prompt is blocked.\n",
+        "* For lots more details on using the Python SDK, check out this [detailed quickstart](https://ai.google.dev/tutorials/python_quickstart)."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "import pandas as pd\n",
+        "import spacy\n",
+        "import numpy as np\n",
+        "import nltk\n",
+        "import openpyxl"
+      ],
+      "metadata": {
+        "id": "VJ4RWLUo9hRY"
+      },
+      "execution_count": 2,
+      "outputs": []
+    },
+    {
+      "cell_type": "markdown",
+      "source": [],
+      "metadata": {
+        "id": "NdGtXpZzIdlm"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "df = pd.read_csv(\"/content/complaints.csv\")"
+      ],
+      "metadata": {
+        "id": "RLU6JoF99-6m"
+      },
+      "execution_count": 50,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "nlp = spacy.load ('en_core_web_sm')\n",
+        "doc = nlp(df.Sub_issue.iloc[0])"
+      ],
+      "metadata": {
+        "id": "KQRhFkRy-Tf9"
+      },
+      "execution_count": 51,
+      "outputs": []
+    },
+    {
+      "cell_type": "markdown",
+      "source": [],
+      "metadata": {
+        "id": "lqGMQEQ5Hsi5"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "tokens = []\n",
+        "lemma = []\n",
+        "pos = []\n",
+        "\n",
+        "for doc in nlp.pipe (df['Sub_issue'].astype('unicode').values, batch_size = 50):\n",
+        "  if doc.is_parsed:\n",
+        "    tokens.append([n.text for n in doc])\n",
+        "    lemma.append([n.lemma_ for n in doc])\n",
+        "    pos.append([n.pos_ for n in doc])\n",
+        "  else:\n",
+        "    tokens.append(None)\n",
+        "    lemma.append(None)\n",
+        "    pos.append(None)\n",
+        "\n",
+        "df['issue_tokens'] = tokens\n",
+        "df['issue_lemma'] = lemma\n",
+        "df['issue_pos'] = pos"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "hV58oTPWIsFz",
+        "outputId": "6c03c0e7-ba2a-4d76-a436-7ce9d3955e25"
+      },
+      "execution_count": 56,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stderr",
+          "text": [
+            "<ipython-input-56-2220fc4f665a>:6: DeprecationWarning: [W107] The property `Doc.is_parsed` is deprecated. Use `Doc.has_annotation(\"DEP\")` instead.\n",
+            "  if doc.is_parsed:\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "def to_doc(words:tuple) -> spacy.tokens.Doc:\n",
+        "  return nlp(' '.join(words))\n",
+        "\n",
+        "def remove_stops(doc) -> list:\n",
+        "  return [token.text for token in doc if not token.is_stop]"
+      ],
+      "metadata": {
+        "id": "yRO0E0qxKzvR"
+      },
+      "execution_count": 58,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "docs = list(map(to_doc, df.issue_lemma))\n",
+        "df['removed_stops'] = list(map(remove_stops, docs))"
+      ],
+      "metadata": {
+        "id": "TrWDRfJqLmeB"
+      },
+      "execution_count": 60,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "import re\n",
+        "#Remove punctuation\n",
+        "df['removed_stops_proces'] = df['removed_stops'].map(lambda x: re.sub(\"[,\\.!?]\",\"\",str(x)))\n",
+        "#convert to lower\n",
+        "df['removed_stops_proces'] = df['removed_stops_proces'].map(lambda x:x.lower())"
+      ],
+      "metadata": {
+        "id": "jPHGY_5lM00A"
+      },
+      "execution_count": 64,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "df['removed_stops_proces'] = df['removed_stops_proces'].str.replace(\"'\",'')"
+      ],
+      "metadata": {
+        "id": "slMm38XjN25u"
+      },
+      "execution_count": 66,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "from sklearn.feature_extraction.text import CountVectorizer\n",
+        "from sklearn.decomposition import LatentDirichletAllocation"
+      ],
+      "metadata": {
+        "id": "jfFE5SbmONT6"
+      },
+      "execution_count": 68,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "cv = CountVectorizer(max_df = 0.9, min_df = 2)\n",
+        "dtm = cv.fit_transform(df['removed_stops_proces'])"
+      ],
+      "metadata": {
+        "id": "60WyQ8QZR7d4"
+      },
+      "execution_count": 69,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "LDA = LatentDirichletAllocation(n_components = 6, random_state = 42)\n",
+        "LDA.fit(dtm)"
+      ],
+      "metadata": {
+        "id": "5Ct_VuyiSSui",
+        "outputId": "6a09ea26-2057-488f-8d7d-0d767aa56bdb",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 80
+        }
+      },
+      "execution_count": 70,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "LatentDirichletAllocation(n_components=6, random_state=42)"
+            ],
+            "text/html": [
+              "<style>#sk-container-id-1 {\n",
+              "  /* Definition of color scheme common for light and dark mode */\n",
+              "  --sklearn-color-text: black;\n",
+              "  --sklearn-color-line: gray;\n",
+              "  /* Definition of color scheme for unfitted estimators */\n",
+              "  --sklearn-color-unfitted-level-0: #fff5e6;\n",
+              "  --sklearn-color-unfitted-level-1: #f6e4d2;\n",
+              "  --sklearn-color-unfitted-level-2: #ffe0b3;\n",
+              "  --sklearn-color-unfitted-level-3: chocolate;\n",
+              "  /* Definition of color scheme for fitted estimators */\n",
+              "  --sklearn-color-fitted-level-0: #f0f8ff;\n",
+              "  --sklearn-color-fitted-level-1: #d4ebff;\n",
+              "  --sklearn-color-fitted-level-2: #b3dbfd;\n",
+              "  --sklearn-color-fitted-level-3: cornflowerblue;\n",
+              "\n",
+              "  /* Specific color for light theme */\n",
+              "  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
+              "  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));\n",
+              "  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
+              "  --sklearn-color-icon: #696969;\n",
+              "\n",
+              "  @media (prefers-color-scheme: dark) {\n",
+              "    /* Redefinition of color scheme for dark theme */\n",
+              "    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
+              "    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));\n",
+              "    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
+              "    --sklearn-color-icon: #878787;\n",
+              "  }\n",
+              "}\n",
+              "\n",
+              "#sk-container-id-1 {\n",
+              "  color: var(--sklearn-color-text);\n",
+              "}\n",
+              "\n",
+              "#sk-container-id-1 pre {\n",
+              "  padding: 0;\n",
+              "}\n",
+              "\n",
+              "#sk-container-id-1 input.sk-hidden--visually {\n",
+              "  border: 0;\n",
+              "  clip: rect(1px 1px 1px 1px);\n",
+              "  clip: rect(1px, 1px, 1px, 1px);\n",
+              "  height: 1px;\n",
+              "  margin: -1px;\n",
+              "  overflow: hidden;\n",
+              "  padding: 0;\n",
+              "  position: absolute;\n",
+              "  width: 1px;\n",
+              "}\n",
+              "\n",
+              "#sk-container-id-1 div.sk-dashed-wrapped {\n",
+              "  border: 1px dashed var(--sklearn-color-line);\n",
+              "  margin: 0 0.4em 0.5em 0.4em;\n",
+              "  box-sizing: border-box;\n",
+              "  padding-bottom: 0.4em;\n",
+              "  background-color: var(--sklearn-color-background);\n",
+              "}\n",
+              "\n",
+              "#sk-container-id-1 div.sk-container {\n",
+              "  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n",
+              "     but bootstrap.min.css set `[hidden] { display: none !important; }`\n",
+              "     so we also need the `!important` here to be able to override the\n",
+              "     default hidden behavior on the sphinx rendered scikit-learn.org.\n",
+              "     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n",
+              "  display: inline-block !important;\n",
+              "  position: relative;\n",
+              "}\n",
+              "\n",
+              "#sk-container-id-1 div.sk-text-repr-fallback {\n",
+              "  display: none;\n",
+              "}\n",
+              "\n",
+              "div.sk-parallel-item,\n",
+              "div.sk-serial,\n",
+              "div.sk-item {\n",
+              "  /* draw centered vertical line to link estimators */\n",
+              "  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n",
+              "  background-size: 2px 100%;\n",
+              "  background-repeat: no-repeat;\n",
+              "  background-position: center center;\n",
+              "}\n",
+              "\n",
+              "/* Parallel-specific style estimator block */\n",
+              "\n",
+              "#sk-container-id-1 div.sk-parallel-item::after {\n",
+              "  content: \"\";\n",
+              "  width: 100%;\n",
+              "  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n",
+              "  flex-grow: 1;\n",
+              "}\n",
+              "\n",
+              "#sk-container-id-1 div.sk-parallel {\n",
+              "  display: flex;\n",
+              "  align-items: stretch;\n",
+              "  justify-content: center;\n",
+              "  background-color: var(--sklearn-color-background);\n",
+              "  position: relative;\n",
+              "}\n",
+              "\n",
+              "#sk-container-id-1 div.sk-parallel-item {\n",
+              "  display: flex;\n",
+              "  flex-direction: column;\n",
+              "}\n",
+              "\n",
+              "#sk-container-id-1 div.sk-parallel-item:first-child::after {\n",
+              "  align-self: flex-end;\n",
+              "  width: 50%;\n",
+              "}\n",
+              "\n",
+              "#sk-container-id-1 div.sk-parallel-item:last-child::after {\n",
+              "  align-self: flex-start;\n",
+              "  width: 50%;\n",
+              "}\n",
+              "\n",
+              "#sk-container-id-1 div.sk-parallel-item:only-child::after {\n",
+              "  width: 0;\n",
+              "}\n",
+              "\n",
+              "/* Serial-specific style estimator block */\n",
+              "\n",
+              "#sk-container-id-1 div.sk-serial {\n",
+              "  display: flex;\n",
+              "  flex-direction: column;\n",
+              "  align-items: center;\n",
+              "  background-color: var(--sklearn-color-background);\n",
+              "  padding-right: 1em;\n",
+              "  padding-left: 1em;\n",
+              "}\n",
+              "\n",
+              "\n",
+              "/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\n",
+              "clickable and can be expanded/collapsed.\n",
+              "- Pipeline and ColumnTransformer use this feature and define the default style\n",
+              "- Estimators will overwrite some part of the style using the `sk-estimator` class\n",
+              "*/\n",
+              "\n",
+              "/* Pipeline and ColumnTransformer style (default) */\n",
+              "\n",
+              "#sk-container-id-1 div.sk-toggleable {\n",
+              "  /* Default theme specific background. It is overwritten whether we have a\n",
+              "  specific estimator or a Pipeline/ColumnTransformer */\n",
+              "  background-color: var(--sklearn-color-background);\n",
+              "}\n",
+              "\n",
+              "/* Toggleable label */\n",
+              "#sk-container-id-1 label.sk-toggleable__label {\n",
+              "  cursor: pointer;\n",
+              "  display: block;\n",
+              "  width: 100%;\n",
+              "  margin-bottom: 0;\n",
+              "  padding: 0.5em;\n",
+              "  box-sizing: border-box;\n",
+              "  text-align: center;\n",
+              "}\n",
+              "\n",
+              "#sk-container-id-1 label.sk-toggleable__label-arrow:before {\n",
+              "  /* Arrow on the left of the label */\n",
+              "  content: \"▸\";\n",
+              "  float: left;\n",
+              "  margin-right: 0.25em;\n",
+              "  color: var(--sklearn-color-icon);\n",
+              "}\n",
+              "\n",
+              "#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {\n",
+              "  color: var(--sklearn-color-text);\n",
+              "}\n",
+              "\n",
+              "/* Toggleable content - dropdown */\n",
+              "\n",
+              "#sk-container-id-1 div.sk-toggleable__content {\n",
+              "  max-height: 0;\n",
+              "  max-width: 0;\n",
+              "  overflow: hidden;\n",
+              "  text-align: left;\n",
+              "  /* unfitted */\n",
+              "  background-color: var(--sklearn-color-unfitted-level-0);\n",
+              "}\n",
+              "\n",
+              "#sk-container-id-1 div.sk-toggleable__content.fitted {\n",
+              "  /* fitted */\n",
+              "  background-color: var(--sklearn-color-fitted-level-0);\n",
+              "}\n",
+              "\n",
+              "#sk-container-id-1 div.sk-toggleable__content pre {\n",
+              "  margin: 0.2em;\n",
+              "  border-radius: 0.25em;\n",
+              "  color: var(--sklearn-color-text);\n",
+              "  /* unfitted */\n",
+              "  background-color: var(--sklearn-color-unfitted-level-0);\n",
+              "}\n",
+              "\n",
+              "#sk-container-id-1 div.sk-toggleable__content.fitted pre {\n",
+              "  /* unfitted */\n",
+              "  background-color: var(--sklearn-color-fitted-level-0);\n",
+              "}\n",
+              "\n",
+              "#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
+              "  /* Expand drop-down */\n",
+              "  max-height: 200px;\n",
+              "  max-width: 100%;\n",
+              "  overflow: auto;\n",
+              "}\n",
+              "\n",
+              "#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
+              "  content: \"▾\";\n",
+              "}\n",
+              "\n",
+              "/* Pipeline/ColumnTransformer-specific style */\n",
+              "\n",
+              "#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
+              "  color: var(--sklearn-color-text);\n",
+              "  background-color: var(--sklearn-color-unfitted-level-2);\n",
+              "}\n",
+              "\n",
+              "#sk-container-id-1 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
+              "  background-color: var(--sklearn-color-fitted-level-2);\n",
+              "}\n",
+              "\n",
+              "/* Estimator-specific style */\n",
+              "\n",
+              "/* Colorize estimator box */\n",
+              "#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
+              "  /* unfitted */\n",
+              "  background-color: var(--sklearn-color-unfitted-level-2);\n",
+              "}\n",
+              "\n",
+              "#sk-container-id-1 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
+              "  /* fitted */\n",
+              "  background-color: var(--sklearn-color-fitted-level-2);\n",
+              "}\n",
+              "\n",
+              "#sk-container-id-1 div.sk-label label.sk-toggleable__label,\n",
+              "#sk-container-id-1 div.sk-label label {\n",
+              "  /* The background is the default theme color */\n",
+              "  color: var(--sklearn-color-text-on-default-background);\n",
+              "}\n",
+              "\n",
+              "/* On hover, darken the color of the background */\n",
+              "#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {\n",
+              "  color: var(--sklearn-color-text);\n",
+              "  background-color: var(--sklearn-color-unfitted-level-2);\n",
+              "}\n",
+              "\n",
+              "/* Label box, darken color on hover, fitted */\n",
+              "#sk-container-id-1 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
+              "  color: var(--sklearn-color-text);\n",
+              "  background-color: var(--sklearn-color-fitted-level-2);\n",
+              "}\n",
+              "\n",
+              "/* Estimator label */\n",
+              "\n",
+              "#sk-container-id-1 div.sk-label label {\n",
+              "  font-family: monospace;\n",
+              "  font-weight: bold;\n",
+              "  display: inline-block;\n",
+              "  line-height: 1.2em;\n",
+              "}\n",
+              "\n",
+              "#sk-container-id-1 div.sk-label-container {\n",
+              "  text-align: center;\n",
+              "}\n",
+              "\n",
+              "/* Estimator-specific */\n",
+              "#sk-container-id-1 div.sk-estimator {\n",
+              "  font-family: monospace;\n",
+              "  border: 1px dotted var(--sklearn-color-border-box);\n",
+              "  border-radius: 0.25em;\n",
+              "  box-sizing: border-box;\n",
+              "  margin-bottom: 0.5em;\n",
+              "  /* unfitted */\n",
+              "  background-color: var(--sklearn-color-unfitted-level-0);\n",
+              "}\n",
+              "\n",
+              "#sk-container-id-1 div.sk-estimator.fitted {\n",
+              "  /* fitted */\n",
+              "  background-color: var(--sklearn-color-fitted-level-0);\n",
+              "}\n",
+              "\n",
+              "/* on hover */\n",
+              "#sk-container-id-1 div.sk-estimator:hover {\n",
+              "  /* unfitted */\n",
+              "  background-color: var(--sklearn-color-unfitted-level-2);\n",
+              "}\n",
+              "\n",
+              "#sk-container-id-1 div.sk-estimator.fitted:hover {\n",
+              "  /* fitted */\n",
+              "  background-color: var(--sklearn-color-fitted-level-2);\n",
+              "}\n",
+              "\n",
+              "/* Specification for estimator info (e.g. \"i\" and \"?\") */\n",
+              "\n",
+              "/* Common style for \"i\" and \"?\" */\n",
+              "\n",
+              ".sk-estimator-doc-link,\n",
+              "a:link.sk-estimator-doc-link,\n",
+              "a:visited.sk-estimator-doc-link {\n",
+              "  float: right;\n",
+              "  font-size: smaller;\n",
+              "  line-height: 1em;\n",
+              "  font-family: monospace;\n",
+              "  background-color: var(--sklearn-color-background);\n",
+              "  border-radius: 1em;\n",
+              "  height: 1em;\n",
+              "  width: 1em;\n",
+              "  text-decoration: none !important;\n",
+              "  margin-left: 1ex;\n",
+              "  /* unfitted */\n",
+              "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
+              "  color: var(--sklearn-color-unfitted-level-1);\n",
+              "}\n",
+              "\n",
+              ".sk-estimator-doc-link.fitted,\n",
+              "a:link.sk-estimator-doc-link.fitted,\n",
+              "a:visited.sk-estimator-doc-link.fitted {\n",
+              "  /* fitted */\n",
+              "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
+              "  color: var(--sklearn-color-fitted-level-1);\n",
+              "}\n",
+              "\n",
+              "/* On hover */\n",
+              "div.sk-estimator:hover .sk-estimator-doc-link:hover,\n",
+              ".sk-estimator-doc-link:hover,\n",
+              "div.sk-label-container:hover .sk-estimator-doc-link:hover,\n",
+              ".sk-estimator-doc-link:hover {\n",
+              "  /* unfitted */\n",
+              "  background-color: var(--sklearn-color-unfitted-level-3);\n",
+              "  color: var(--sklearn-color-background);\n",
+              "  text-decoration: none;\n",
+              "}\n",
+              "\n",
+              "div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n",
+              ".sk-estimator-doc-link.fitted:hover,\n",
+              "div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n",
+              ".sk-estimator-doc-link.fitted:hover {\n",
+              "  /* fitted */\n",
+              "  background-color: var(--sklearn-color-fitted-level-3);\n",
+              "  color: var(--sklearn-color-background);\n",
+              "  text-decoration: none;\n",
+              "}\n",
+              "\n",
+              "/* Span, style for the box shown on hovering the info icon */\n",
+              ".sk-estimator-doc-link span {\n",
+              "  display: none;\n",
+              "  z-index: 9999;\n",
+              "  position: relative;\n",
+              "  font-weight: normal;\n",
+              "  right: .2ex;\n",
+              "  padding: .5ex;\n",
+              "  margin: .5ex;\n",
+              "  width: min-content;\n",
+              "  min-width: 20ex;\n",
+              "  max-width: 50ex;\n",
+              "  color: var(--sklearn-color-text);\n",
+              "  box-shadow: 2pt 2pt 4pt #999;\n",
+              "  /* unfitted */\n",
+              "  background: var(--sklearn-color-unfitted-level-0);\n",
+              "  border: .5pt solid var(--sklearn-color-unfitted-level-3);\n",
+              "}\n",
+              "\n",
+              ".sk-estimator-doc-link.fitted span {\n",
+              "  /* fitted */\n",
+              "  background: var(--sklearn-color-fitted-level-0);\n",
+              "  border: var(--sklearn-color-fitted-level-3);\n",
+              "}\n",
+              "\n",
+              ".sk-estimator-doc-link:hover span {\n",
+              "  display: block;\n",
+              "}\n",
+              "\n",
+              "/* \"?\"-specific style due to the `<a>` HTML tag */\n",
+              "\n",
+              "#sk-container-id-1 a.estimator_doc_link {\n",
+              "  float: right;\n",
+              "  font-size: 1rem;\n",
+              "  line-height: 1em;\n",
+              "  font-family: monospace;\n",
+              "  background-color: var(--sklearn-color-background);\n",
+              "  border-radius: 1rem;\n",
+              "  height: 1rem;\n",
+              "  width: 1rem;\n",
+              "  text-decoration: none;\n",
+              "  /* unfitted */\n",
+              "  color: var(--sklearn-color-unfitted-level-1);\n",
+              "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
+              "}\n",
+              "\n",
+              "#sk-container-id-1 a.estimator_doc_link.fitted {\n",
+              "  /* fitted */\n",
+              "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
+              "  color: var(--sklearn-color-fitted-level-1);\n",
+              "}\n",
+              "\n",
+              "/* On hover */\n",
+              "#sk-container-id-1 a.estimator_doc_link:hover {\n",
+              "  /* unfitted */\n",
+              "  background-color: var(--sklearn-color-unfitted-level-3);\n",
+              "  color: var(--sklearn-color-background);\n",
+              "  text-decoration: none;\n",
+              "}\n",
+              "\n",
+              "#sk-container-id-1 a.estimator_doc_link.fitted:hover {\n",
+              "  /* fitted */\n",
+              "  background-color: var(--sklearn-color-fitted-level-3);\n",
+              "}\n",
+              "</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>LatentDirichletAllocation(n_components=6, random_state=42)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow fitted\">&nbsp;&nbsp;LatentDirichletAllocation<a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.5/modules/generated/sklearn.decomposition.LatentDirichletAllocation.html\">?<span>Documentation for LatentDirichletAllocation</span></a><span class=\"sk-estimator-doc-link fitted\">i<span>Fitted</span></span></label><div class=\"sk-toggleable__content fitted\"><pre>LatentDirichletAllocation(n_components=6, random_state=42)</pre></div> </div></div></div></div>"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 70
+        }
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "source": [],
+      "metadata": {
+        "id": "iB3MZLpb9-Al"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "LDA.components_[2]"
+      ],
+      "metadata": {
+        "id": "Hx6vlBKcSgaT",
+        "outputId": "d6baaa0c-10dc-451a-8120-e701c3ac4705",
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        }
+      },
+      "execution_count": 73,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "array([1.66666949e-01, 1.66718690e-01, 1.66667273e-01, 1.66670633e-01,\n",
+              "       1.66667902e-01, 1.66667913e-01, 1.66666952e-01, 1.66666887e-01,\n",
+              "       1.66757910e-01, 1.41666533e+01, 1.66708421e-01, 1.66667378e-01,\n",
+              "       1.66666768e-01, 1.66881724e-01, 1.66666801e-01, 1.66666944e-01,\n",
+              "       1.66714690e-01, 1.66666928e-01, 1.66666829e-01, 1.66666831e-01,\n",
+              "       1.66666826e-01, 1.66667316e-01, 1.04705814e+01, 1.66667561e-01,\n",
+              "       1.66666910e-01, 1.66667089e-01, 2.41624258e+01, 4.16664844e+00,\n",
+              "       1.66667135e-01, 1.66908366e-01, 1.66667338e-01, 1.66666956e-01,\n",
+              "       1.66667769e-01, 1.66667338e-01, 1.66929954e-01, 1.66668434e-01,\n",
+              "       1.66910484e-01, 1.66666796e-01, 1.66817093e-01, 3.44616596e+03,\n",
+              "       1.66777266e-01, 1.66666980e-01, 1.66666789e-01, 1.89815693e+03,\n",
+              "       1.66668235e-01, 1.66905507e-01, 1.66666950e-01, 1.66881724e-01,\n",
+              "       1.66685720e-01, 1.67370158e-01, 1.66723281e-01, 1.66667102e-01,\n",
+              "       4.15270413e+00, 1.66667166e-01, 1.66667117e-01, 1.66666943e-01,\n",
+              "       1.66667085e-01, 1.41646664e+01, 1.66666760e-01, 1.66667914e-01,\n",
+              "       1.66727445e-01, 1.66714690e-01, 1.66666944e-01, 1.66666961e-01,\n",
+              "       1.66667244e-01, 1.66667127e-01, 1.66666768e-01, 1.66667299e-01,\n",
+              "       1.67126728e-01, 1.66673908e-01, 1.66723293e-01, 1.66704647e-01,\n",
+              "       4.16664844e+00, 1.41666533e+01, 1.66667228e-01, 1.66667244e-01,\n",
+              "       1.66666944e-01, 1.66667680e-01, 1.67126527e-01, 2.41624258e+01,\n",
+              "       1.66666785e-01, 1.66666944e-01, 3.33416665e+03, 1.66666958e-01,\n",
+              "       1.66667251e-01, 1.67155802e-01, 1.66676161e-01, 1.70316665e+03,\n",
+              "       1.66667085e-01, 1.66667273e-01, 1.66667387e-01, 1.66667228e-01,\n",
+              "       1.66800268e-01, 1.66666910e-01, 1.66666980e-01, 1.66718690e-01,\n",
+              "       1.66666944e-01, 1.66667764e-01, 1.66667964e-01, 1.66723281e-01,\n",
+              "       1.67370158e-01, 1.66683379e-01, 1.01637513e+01, 1.66889079e-01,\n",
+              "       1.66668115e-01, 1.66667083e-01, 1.66777266e-01, 1.67113168e-01,\n",
+              "       1.66723293e-01, 1.66767374e-01, 2.41624258e+01, 1.66666807e-01,\n",
+              "       1.60166584e+02, 1.66667618e-01, 1.66666768e-01, 1.66666899e-01,\n",
+              "       1.66666760e-01, 1.66666880e-01, 1.66718690e-01, 1.66666726e-01,\n",
+              "       1.66667224e-01, 1.66666944e-01, 1.66666828e-01, 1.66848252e-01,\n",
+              "       1.66667563e-01, 1.66666951e-01, 1.66666959e-01, 1.01637513e+01,\n",
+              "       1.66666843e-01, 1.66666918e-01, 1.66668051e-01, 1.66667458e-01,\n",
+              "       1.66666943e-01, 1.66666987e-01, 1.66666807e-01, 1.66666807e-01,\n",
+              "       8.56055412e+01, 1.66689830e-01, 1.66669276e-01, 1.66667215e-01,\n",
+              "       1.66718690e-01, 1.66666887e-01, 1.66667764e-01, 1.66667297e-01,\n",
+              "       2.41624258e+01, 1.66714690e-01, 1.66666950e-01, 1.66913762e-01,\n",
+              "       1.66667220e-01, 1.66666829e-01, 1.66667109e-01, 1.70316665e+03,\n",
+              "       1.66666950e-01, 1.66718119e-01, 1.66667127e-01, 1.66666752e-01,\n",
+              "       1.66667228e-01, 8.59988329e+03, 1.66666894e-01, 1.66975383e-01,\n",
+              "       1.66666991e-01, 1.67005609e-01, 1.66666875e-01, 1.66718194e-01,\n",
+              "       3.71666498e+01, 1.66667263e-01, 1.66707404e-01, 1.66667319e-01,\n",
+              "       1.94553093e+00, 1.66723293e-01, 1.66848252e-01, 1.66990792e-01,\n",
+              "       1.66667456e-01, 1.66666834e-01, 1.66848252e-01, 1.66666943e-01,\n",
+              "       1.66666918e-01, 1.66666768e-01, 1.66905507e-01, 1.66666843e-01,\n",
+              "       1.66667244e-01, 1.66666789e-01, 1.66666849e-01, 1.66667175e-01,\n",
+              "       1.66836305e-01, 1.66905599e-01, 1.66667135e-01, 1.66666928e-01,\n",
+              "       1.66968209e-01, 1.66736159e-01, 1.66775876e-01, 1.66667225e-01,\n",
+              "       1.66667169e-01, 1.66666951e-01, 3.38816635e+03, 1.66666845e-01,\n",
+              "       1.66666830e-01, 1.66667128e-01, 1.67126527e-01, 1.66714690e-01,\n",
+              "       1.66666834e-01])"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 73
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "for i,topic in enumerate (LDA.components_):\n",
+        "  print(f'The top 10 words for topic #{i}')\n",
+        "  print([cv.get_feature_names_out()[index] for index in topic.argsort()[-10:]])\n",
+        "  print ('\\n')"
+      ],
+      "metadata": {
+        "id": "XxtOP2y0S1m8",
+        "outputId": "6ad70cd1-886d-4a7d-e145-0231367da9b1",
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        }
+      },
+      "execution_count": 75,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "The top 10 words for topic #0\n",
+            "['repeat', 'process', 'card', 'open', 'knowledge', 'consent', 'investigation', 'report', 'error', 'fix']\n",
+            "\n",
+            "\n",
+            "The top 10 words for topic #1\n",
+            "['theft', 'disclose', 'notification', 'reappear', 'away', 'old', 'wrong', 'attempt', 'collect', 'debt']\n",
+            "\n",
+            "\n",
+            "The top 10 words for topic #2\n",
+            "['score', 'problem', 'nan', 'inquiry', 'recognize', 'credit', 'improperly', 'use', 'company', 'report']\n",
+            "\n",
+            "\n",
+            "The top 10 words for topic #3\n",
+            "['phone', 'difficulty', 'submit', 'card', 'dispute', 'personal', 'status', 'information', 'account', 'incorrect']\n",
+            "\n",
+            "\n",
+            "The top 10 words for topic #4\n",
+            "['record', 'inaccurate', 'dispute', 'problem', 'result', 'status', 'notify', '30', 'day', 'investigation']\n",
+            "\n",
+            "\n",
+            "The top 10 words for topic #5\n",
+            "['disburse', 'instruct', 'handle', 'insurance', 'fund', 'communicate', 'issue', 'miss', 'belong', 'information']\n",
+            "\n",
+            "\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "topic_results = LDA.transform(dtm)\n",
+        "df['Topic'] = topic_results.argmax(axis = 1)"
+      ],
+      "metadata": {
+        "id": "Q4qWBe9RVR5W"
+      },
+      "execution_count": 76,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "import nltk\n",
+        "nltk.download('vader_lexicon')"
+      ],
+      "metadata": {
+        "id": "zTCzIIpBV50a",
+        "outputId": "a0658213-7612-4b7a-94d4-944f7f74f5e1",
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        }
+      },
+      "execution_count": 78,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stderr",
+          "text": [
+            "[nltk_data] Downloading package vader_lexicon to /root/nltk_data...\n"
+          ]
+        },
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "True"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 78
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "from nltk.sentiment.vader import SentimentIntensityAnalyzer\n",
+        "sid = SentimentIntensityAnalyzer()"
+      ],
+      "metadata": {
+        "id": "JZ5reZUkVjLu"
+      },
+      "execution_count": 79,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "df['removed_stops_proces'] = df['removed_stops_proces'].str.replace(\"[\",'')\n",
+        "df['removed_stops_proces'] = df['removed_stops_proces'].str.replace(\"[\",'')"
+      ],
+      "metadata": {
+        "id": "twVFV48Na2Fx"
+      },
+      "execution_count": 80,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "df['scores'] = df['removed_stops_proces'].apply(lambda removed_stops_proces: sid.polarity_scores(removed_stops_proces))\n",
+        "df['compound'] = df['scores'].apply(lambda d:d['compound'])\n",
+        "df['comp_score'] = df['compound'].apply (lambda score: 'positive' if score > 0 else ('negative' if score < 0 else 'neutral'))\n",
+        "df['neg_score'] = df['scores'].apply (lambda x:x.get('neg'))\n",
+        "df['sentiment'] = np.where (df['neg_score']>0,'negative',np.where (df['compound']<0,'negative', np.where (df['compound']>0,'positive','neutral')))"
+      ],
+      "metadata": {
+        "id": "08rGmxp2bQq6"
+      },
+      "execution_count": 82,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "df"
+      ],
+      "metadata": {
+        "id": "y4DPcppkdBac",
+        "outputId": "1dd4cf87-3d9e-435d-ea27-a994cb55e57d",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 1000
+        }
+      },
+      "execution_count": 83,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "      Date received                                            Product  \\\n",
+              "0        10/26/2024  Credit reporting or other personal consumer re...   \n",
+              "1        10/26/2024  Credit reporting or other personal consumer re...   \n",
+              "2        10/18/2024  Credit reporting or other personal consumer re...   \n",
+              "3        10/26/2024  Credit reporting or other personal consumer re...   \n",
+              "4        10/26/2024  Credit reporting or other personal consumer re...   \n",
+              "...             ...                                                ...   \n",
+              "19779    10/23/2024  Credit reporting or other personal consumer re...   \n",
+              "19780    10/23/2024  Credit reporting or other personal consumer re...   \n",
+              "19781    10/18/2024  Credit reporting or other personal consumer re...   \n",
+              "19782    10/21/2024  Credit reporting or other personal consumer re...   \n",
+              "19783    10/21/2024  Credit reporting or other personal consumer re...   \n",
+              "\n",
+              "            Sub-product                                              Issue  \\\n",
+              "0      Credit reporting               Incorrect information on your report   \n",
+              "1      Credit reporting                        Improper use of your report   \n",
+              "2      Credit reporting  Problem with a company's investigation into an...   \n",
+              "3      Credit reporting               Incorrect information on your report   \n",
+              "4      Credit reporting               Incorrect information on your report   \n",
+              "...                 ...                                                ...   \n",
+              "19779  Credit reporting               Incorrect information on your report   \n",
+              "19780  Credit reporting               Incorrect information on your report   \n",
+              "19781  Credit reporting               Incorrect information on your report   \n",
+              "19782  Credit reporting               Incorrect information on your report   \n",
+              "19783  Credit reporting               Incorrect information on your report   \n",
+              "\n",
+              "                                               Sub_issue  \\\n",
+              "0                    Information belongs to someone else   \n",
+              "1      Credit inquiries on your report that you don't...   \n",
+              "2      Was not notified of investigation status or re...   \n",
+              "3                          Account information incorrect   \n",
+              "4                    Information belongs to someone else   \n",
+              "...                                                  ...   \n",
+              "19779                      Account information incorrect   \n",
+              "19780                      Account information incorrect   \n",
+              "19781                Information belongs to someone else   \n",
+              "19782                           Account status incorrect   \n",
+              "19783                Information belongs to someone else   \n",
+              "\n",
+              "      Consumer_complaint_narrative Company public response  \\\n",
+              "0                              NaN                     NaN   \n",
+              "1                              NaN                     NaN   \n",
+              "2                              NaN                     NaN   \n",
+              "3                              NaN                     NaN   \n",
+              "4                              NaN                     NaN   \n",
+              "...                            ...                     ...   \n",
+              "19779                          NaN                     NaN   \n",
+              "19780                          NaN                     NaN   \n",
+              "19781                          NaN                     NaN   \n",
+              "19782                          NaN                     NaN   \n",
+              "19783                          NaN                     NaN   \n",
+              "\n",
+              "                                      Company State ZIP code  ...  \\\n",
+              "0                               EQUIFAX, INC.    PA    19153  ...   \n",
+              "1                               EQUIFAX, INC.    SC    29212  ...   \n",
+              "2                               EQUIFAX, INC.    SC    29418  ...   \n",
+              "3                               EQUIFAX, INC.    SC    29483  ...   \n",
+              "4                               EQUIFAX, INC.    LA    70122  ...   \n",
+              "...                                       ...   ...      ...  ...   \n",
+              "19779  TRANSUNION INTERMEDIATE HOLDINGS, INC.    FL    32811  ...   \n",
+              "19780  TRANSUNION INTERMEDIATE HOLDINGS, INC.    FL    32811  ...   \n",
+              "19781     Experian Information Solutions Inc.    CA    92602  ...   \n",
+              "19782                           EQUIFAX, INC.    FL    34771  ...   \n",
+              "19783     Experian Information Solutions Inc.    NC    27834  ...   \n",
+              "\n",
+              "                                             issue_lemma  \\\n",
+              "0               [information, belong, to, someone, else]   \n",
+              "1      [credit, inquiry, on, your, report, that, you,...   \n",
+              "2      [be, not, notify, of, investigation, status, o...   \n",
+              "3                      [account, information, incorrect]   \n",
+              "4               [information, belong, to, someone, else]   \n",
+              "...                                                  ...   \n",
+              "19779                  [account, information, incorrect]   \n",
+              "19780                  [account, information, incorrect]   \n",
+              "19781           [information, belong, to, someone, else]   \n",
+              "19782                       [account, status, incorrect]   \n",
+              "19783           [information, belong, to, someone, else]   \n",
+              "\n",
+              "                                               issue_pos  \\\n",
+              "0                           [NOUN, VERB, ADP, PRON, ADV]   \n",
+              "1      [NOUN, NOUN, ADP, PRON, NOUN, SCONJ, PRON, AUX...   \n",
+              "2        [AUX, PART, VERB, ADP, NOUN, NOUN, CCONJ, NOUN]   \n",
+              "3                                      [NOUN, NOUN, ADJ]   \n",
+              "4                           [NOUN, VERB, ADP, PRON, ADV]   \n",
+              "...                                                  ...   \n",
+              "19779                                  [NOUN, NOUN, ADJ]   \n",
+              "19780                                  [NOUN, NOUN, ADJ]   \n",
+              "19781                       [NOUN, VERB, ADP, PRON, ADV]   \n",
+              "19782                                 [NOUN, NOUN, NOUN]   \n",
+              "19783                       [NOUN, VERB, ADP, PRON, ADV]   \n",
+              "\n",
+              "                                 removed_stops  \\\n",
+              "0                        [information, belong]   \n",
+              "1         [credit, inquiry, report, recognize]   \n",
+              "2      [notify, investigation, status, result]   \n",
+              "3            [account, information, incorrect]   \n",
+              "4                        [information, belong]   \n",
+              "...                                        ...   \n",
+              "19779        [account, information, incorrect]   \n",
+              "19780        [account, information, incorrect]   \n",
+              "19781                    [information, belong]   \n",
+              "19782             [account, status, incorrect]   \n",
+              "19783                    [information, belong]   \n",
+              "\n",
+              "                      removed_stops_proces Topic  \\\n",
+              "0                      information belong]     5   \n",
+              "1         credit inquiry report recognize]     2   \n",
+              "2      notify investigation status result]     4   \n",
+              "3           account information incorrect]     3   \n",
+              "4                      information belong]     5   \n",
+              "...                                    ...   ...   \n",
+              "19779       account information incorrect]     3   \n",
+              "19780       account information incorrect]     3   \n",
+              "19781                  information belong]     5   \n",
+              "19782            account status incorrect]     3   \n",
+              "19783                  information belong]     5   \n",
+              "\n",
+              "                                                  scores compound  comp_score  \\\n",
+              "0      {'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound...   0.0000     neutral   \n",
+              "1      {'neg': 0.0, 'neu': 0.536, 'pos': 0.464, 'comp...   0.3818    positive   \n",
+              "2      {'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound...   0.0000     neutral   \n",
+              "3      {'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound...   0.0000     neutral   \n",
+              "4      {'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound...   0.0000     neutral   \n",
+              "...                                                  ...      ...         ...   \n",
+              "19779  {'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound...   0.0000     neutral   \n",
+              "19780  {'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound...   0.0000     neutral   \n",
+              "19781  {'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound...   0.0000     neutral   \n",
+              "19782  {'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound...   0.0000     neutral   \n",
+              "19783  {'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound...   0.0000     neutral   \n",
+              "\n",
+              "      neg_score sentiment  \n",
+              "0           0.0   neutral  \n",
+              "1           0.0  positive  \n",
+              "2           0.0   neutral  \n",
+              "3           0.0   neutral  \n",
+              "4           0.0   neutral  \n",
+              "...         ...       ...  \n",
+              "19779       0.0   neutral  \n",
+              "19780       0.0   neutral  \n",
+              "19781       0.0   neutral  \n",
+              "19782       0.0   neutral  \n",
+              "19783       0.0   neutral  \n",
+              "\n",
+              "[19784 rows x 29 columns]"
+            ],
+            "text/html": [
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+              "  <div id=\"df-9967b152-0559-4680-aa72-d2675ed0c276\" class=\"colab-df-container\">\n",
+              "    <div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
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+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>Date received</th>\n",
+              "      <th>Product</th>\n",
+              "      <th>Sub-product</th>\n",
+              "      <th>Issue</th>\n",
+              "      <th>Sub_issue</th>\n",
+              "      <th>Consumer_complaint_narrative</th>\n",
+              "      <th>Company public response</th>\n",
+              "      <th>Company</th>\n",
+              "      <th>State</th>\n",
+              "      <th>ZIP code</th>\n",
+              "      <th>...</th>\n",
+              "      <th>issue_lemma</th>\n",
+              "      <th>issue_pos</th>\n",
+              "      <th>removed_stops</th>\n",
+              "      <th>removed_stops_proces</th>\n",
+              "      <th>Topic</th>\n",
+              "      <th>scores</th>\n",
+              "      <th>compound</th>\n",
+              "      <th>comp_score</th>\n",
+              "      <th>neg_score</th>\n",
+              "      <th>sentiment</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>10/26/2024</td>\n",
+              "      <td>Credit reporting or other personal consumer re...</td>\n",
+              "      <td>Credit reporting</td>\n",
+              "      <td>Incorrect information on your report</td>\n",
+              "      <td>Information belongs to someone else</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>EQUIFAX, INC.</td>\n",
+              "      <td>PA</td>\n",
+              "      <td>19153</td>\n",
+              "      <td>...</td>\n",
+              "      <td>[information, belong, to, someone, else]</td>\n",
+              "      <td>[NOUN, VERB, ADP, PRON, ADV]</td>\n",
+              "      <td>[information, belong]</td>\n",
+              "      <td>information belong]</td>\n",
+              "      <td>5</td>\n",
+              "      <td>{'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound...</td>\n",
+              "      <td>0.0000</td>\n",
+              "      <td>neutral</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>neutral</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>10/26/2024</td>\n",
+              "      <td>Credit reporting or other personal consumer re...</td>\n",
+              "      <td>Credit reporting</td>\n",
+              "      <td>Improper use of your report</td>\n",
+              "      <td>Credit inquiries on your report that you don't...</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>EQUIFAX, INC.</td>\n",
+              "      <td>SC</td>\n",
+              "      <td>29212</td>\n",
+              "      <td>...</td>\n",
+              "      <td>[credit, inquiry, on, your, report, that, you,...</td>\n",
+              "      <td>[NOUN, NOUN, ADP, PRON, NOUN, SCONJ, PRON, AUX...</td>\n",
+              "      <td>[credit, inquiry, report, recognize]</td>\n",
+              "      <td>credit inquiry report recognize]</td>\n",
+              "      <td>2</td>\n",
+              "      <td>{'neg': 0.0, 'neu': 0.536, 'pos': 0.464, 'comp...</td>\n",
+              "      <td>0.3818</td>\n",
+              "      <td>positive</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>positive</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>10/18/2024</td>\n",
+              "      <td>Credit reporting or other personal consumer re...</td>\n",
+              "      <td>Credit reporting</td>\n",
+              "      <td>Problem with a company's investigation into an...</td>\n",
+              "      <td>Was not notified of investigation status or re...</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>EQUIFAX, INC.</td>\n",
+              "      <td>SC</td>\n",
+              "      <td>29418</td>\n",
+              "      <td>...</td>\n",
+              "      <td>[be, not, notify, of, investigation, status, o...</td>\n",
+              "      <td>[AUX, PART, VERB, ADP, NOUN, NOUN, CCONJ, NOUN]</td>\n",
+              "      <td>[notify, investigation, status, result]</td>\n",
+              "      <td>notify investigation status result]</td>\n",
+              "      <td>4</td>\n",
+              "      <td>{'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound...</td>\n",
+              "      <td>0.0000</td>\n",
+              "      <td>neutral</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>neutral</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>10/26/2024</td>\n",
+              "      <td>Credit reporting or other personal consumer re...</td>\n",
+              "      <td>Credit reporting</td>\n",
+              "      <td>Incorrect information on your report</td>\n",
+              "      <td>Account information incorrect</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>EQUIFAX, INC.</td>\n",
+              "      <td>SC</td>\n",
+              "      <td>29483</td>\n",
+              "      <td>...</td>\n",
+              "      <td>[account, information, incorrect]</td>\n",
+              "      <td>[NOUN, NOUN, ADJ]</td>\n",
+              "      <td>[account, information, incorrect]</td>\n",
+              "      <td>account information incorrect]</td>\n",
+              "      <td>3</td>\n",
+              "      <td>{'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound...</td>\n",
+              "      <td>0.0000</td>\n",
+              "      <td>neutral</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>neutral</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>10/26/2024</td>\n",
+              "      <td>Credit reporting or other personal consumer re...</td>\n",
+              "      <td>Credit reporting</td>\n",
+              "      <td>Incorrect information on your report</td>\n",
+              "      <td>Information belongs to someone else</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>EQUIFAX, INC.</td>\n",
+              "      <td>LA</td>\n",
+              "      <td>70122</td>\n",
+              "      <td>...</td>\n",
+              "      <td>[information, belong, to, someone, else]</td>\n",
+              "      <td>[NOUN, VERB, ADP, PRON, ADV]</td>\n",
+              "      <td>[information, belong]</td>\n",
+              "      <td>information belong]</td>\n",
+              "      <td>5</td>\n",
+              "      <td>{'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound...</td>\n",
+              "      <td>0.0000</td>\n",
+              "      <td>neutral</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>neutral</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>...</th>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>19779</th>\n",
+              "      <td>10/23/2024</td>\n",
+              "      <td>Credit reporting or other personal consumer re...</td>\n",
+              "      <td>Credit reporting</td>\n",
+              "      <td>Incorrect information on your report</td>\n",
+              "      <td>Account information incorrect</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>TRANSUNION INTERMEDIATE HOLDINGS, INC.</td>\n",
+              "      <td>FL</td>\n",
+              "      <td>32811</td>\n",
+              "      <td>...</td>\n",
+              "      <td>[account, information, incorrect]</td>\n",
+              "      <td>[NOUN, NOUN, ADJ]</td>\n",
+              "      <td>[account, information, incorrect]</td>\n",
+              "      <td>account information incorrect]</td>\n",
+              "      <td>3</td>\n",
+              "      <td>{'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound...</td>\n",
+              "      <td>0.0000</td>\n",
+              "      <td>neutral</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>neutral</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>19780</th>\n",
+              "      <td>10/23/2024</td>\n",
+              "      <td>Credit reporting or other personal consumer re...</td>\n",
+              "      <td>Credit reporting</td>\n",
+              "      <td>Incorrect information on your report</td>\n",
+              "      <td>Account information incorrect</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>TRANSUNION INTERMEDIATE HOLDINGS, INC.</td>\n",
+              "      <td>FL</td>\n",
+              "      <td>32811</td>\n",
+              "      <td>...</td>\n",
+              "      <td>[account, information, incorrect]</td>\n",
+              "      <td>[NOUN, NOUN, ADJ]</td>\n",
+              "      <td>[account, information, incorrect]</td>\n",
+              "      <td>account information incorrect]</td>\n",
+              "      <td>3</td>\n",
+              "      <td>{'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound...</td>\n",
+              "      <td>0.0000</td>\n",
+              "      <td>neutral</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>neutral</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>19781</th>\n",
+              "      <td>10/18/2024</td>\n",
+              "      <td>Credit reporting or other personal consumer re...</td>\n",
+              "      <td>Credit reporting</td>\n",
+              "      <td>Incorrect information on your report</td>\n",
+              "      <td>Information belongs to someone else</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>Experian Information Solutions Inc.</td>\n",
+              "      <td>CA</td>\n",
+              "      <td>92602</td>\n",
+              "      <td>...</td>\n",
+              "      <td>[information, belong, to, someone, else]</td>\n",
+              "      <td>[NOUN, VERB, ADP, PRON, ADV]</td>\n",
+              "      <td>[information, belong]</td>\n",
+              "      <td>information belong]</td>\n",
+              "      <td>5</td>\n",
+              "      <td>{'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound...</td>\n",
+              "      <td>0.0000</td>\n",
+              "      <td>neutral</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>neutral</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>19782</th>\n",
+              "      <td>10/21/2024</td>\n",
+              "      <td>Credit reporting or other personal consumer re...</td>\n",
+              "      <td>Credit reporting</td>\n",
+              "      <td>Incorrect information on your report</td>\n",
+              "      <td>Account status incorrect</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>EQUIFAX, INC.</td>\n",
+              "      <td>FL</td>\n",
+              "      <td>34771</td>\n",
+              "      <td>...</td>\n",
+              "      <td>[account, status, incorrect]</td>\n",
+              "      <td>[NOUN, NOUN, NOUN]</td>\n",
+              "      <td>[account, status, incorrect]</td>\n",
+              "      <td>account status incorrect]</td>\n",
+              "      <td>3</td>\n",
+              "      <td>{'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound...</td>\n",
+              "      <td>0.0000</td>\n",
+              "      <td>neutral</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>neutral</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>19783</th>\n",
+              "      <td>10/21/2024</td>\n",
+              "      <td>Credit reporting or other personal consumer re...</td>\n",
+              "      <td>Credit reporting</td>\n",
+              "      <td>Incorrect information on your report</td>\n",
+              "      <td>Information belongs to someone else</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>Experian Information Solutions Inc.</td>\n",
+              "      <td>NC</td>\n",
+              "      <td>27834</td>\n",
+              "      <td>...</td>\n",
+              "      <td>[information, belong, to, someone, else]</td>\n",
+              "      <td>[NOUN, VERB, ADP, PRON, ADV]</td>\n",
+              "      <td>[information, belong]</td>\n",
+              "      <td>information belong]</td>\n",
+              "      <td>5</td>\n",
+              "      <td>{'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound...</td>\n",
+              "      <td>0.0000</td>\n",
+              "      <td>neutral</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>neutral</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "<p>19784 rows × 29 columns</p>\n",
+              "</div>\n",
+              "    <div class=\"colab-df-buttons\">\n",
+              "\n",
+              "  <div class=\"colab-df-container\">\n",
+              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-9967b152-0559-4680-aa72-d2675ed0c276')\"\n",
+              "            title=\"Convert this dataframe to an interactive table.\"\n",
+              "            style=\"display:none;\">\n",
+              "\n",
+              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
+              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
+              "  </svg>\n",
+              "    </button>\n",
+              "\n",
+              "  <style>\n",
+              "    .colab-df-container {\n",
+              "      display:flex;\n",
+              "      gap: 12px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert {\n",
+              "      background-color: #E8F0FE;\n",
+              "      border: none;\n",
+              "      border-radius: 50%;\n",
+              "      cursor: pointer;\n",
+              "      display: none;\n",
+              "      fill: #1967D2;\n",
+              "      height: 32px;\n",
+              "      padding: 0 0 0 0;\n",
+              "      width: 32px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert:hover {\n",
+              "      background-color: #E2EBFA;\n",
+              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "      fill: #174EA6;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-buttons div {\n",
+              "      margin-bottom: 4px;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert {\n",
+              "      background-color: #3B4455;\n",
+              "      fill: #D2E3FC;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert:hover {\n",
+              "      background-color: #434B5C;\n",
+              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "      fill: #FFFFFF;\n",
+              "    }\n",
+              "  </style>\n",
+              "\n",
+              "    <script>\n",
+              "      const buttonEl =\n",
+              "        document.querySelector('#df-9967b152-0559-4680-aa72-d2675ed0c276 button.colab-df-convert');\n",
+              "      buttonEl.style.display =\n",
+              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "\n",
+              "      async function convertToInteractive(key) {\n",
+              "        const element = document.querySelector('#df-9967b152-0559-4680-aa72-d2675ed0c276');\n",
+              "        const dataTable =\n",
+              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
+              "                                                    [key], {});\n",
+              "        if (!dataTable) return;\n",
+              "\n",
+              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
+              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
+              "          + ' to learn more about interactive tables.';\n",
+              "        element.innerHTML = '';\n",
+              "        dataTable['output_type'] = 'display_data';\n",
+              "        await google.colab.output.renderOutput(dataTable, element);\n",
+              "        const docLink = document.createElement('div');\n",
+              "        docLink.innerHTML = docLinkHtml;\n",
+              "        element.appendChild(docLink);\n",
+              "      }\n",
+              "    </script>\n",
+              "  </div>\n",
+              "\n",
+              "\n",
+              "<div id=\"df-f016060e-e20e-44fe-a930-b46948723d22\">\n",
+              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-f016060e-e20e-44fe-a930-b46948723d22')\"\n",
+              "            title=\"Suggest charts\"\n",
+              "            style=\"display:none;\">\n",
+              "\n",
+              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
+              "     width=\"24px\">\n",
+              "    <g>\n",
+              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
+              "    </g>\n",
+              "</svg>\n",
+              "  </button>\n",
+              "\n",
+              "<style>\n",
+              "  .colab-df-quickchart {\n",
+              "      --bg-color: #E8F0FE;\n",
+              "      --fill-color: #1967D2;\n",
+              "      --hover-bg-color: #E2EBFA;\n",
+              "      --hover-fill-color: #174EA6;\n",
+              "      --disabled-fill-color: #AAA;\n",
+              "      --disabled-bg-color: #DDD;\n",
+              "  }\n",
+              "\n",
+              "  [theme=dark] .colab-df-quickchart {\n",
+              "      --bg-color: #3B4455;\n",
+              "      --fill-color: #D2E3FC;\n",
+              "      --hover-bg-color: #434B5C;\n",
+              "      --hover-fill-color: #FFFFFF;\n",
+              "      --disabled-bg-color: #3B4455;\n",
+              "      --disabled-fill-color: #666;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart {\n",
+              "    background-color: var(--bg-color);\n",
+              "    border: none;\n",
+              "    border-radius: 50%;\n",
+              "    cursor: pointer;\n",
+              "    display: none;\n",
+              "    fill: var(--fill-color);\n",
+              "    height: 32px;\n",
+              "    padding: 0;\n",
+              "    width: 32px;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart:hover {\n",
+              "    background-color: var(--hover-bg-color);\n",
+              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "    fill: var(--button-hover-fill-color);\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart-complete:disabled,\n",
+              "  .colab-df-quickchart-complete:disabled:hover {\n",
+              "    background-color: var(--disabled-bg-color);\n",
+              "    fill: var(--disabled-fill-color);\n",
+              "    box-shadow: none;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-spinner {\n",
+              "    border: 2px solid var(--fill-color);\n",
+              "    border-color: transparent;\n",
+              "    border-bottom-color: var(--fill-color);\n",
+              "    animation:\n",
+              "      spin 1s steps(1) infinite;\n",
+              "  }\n",
+              "\n",
+              "  @keyframes spin {\n",
+              "    0% {\n",
+              "      border-color: transparent;\n",
+              "      border-bottom-color: var(--fill-color);\n",
+              "      border-left-color: var(--fill-color);\n",
+              "    }\n",
+              "    20% {\n",
+              "      border-color: transparent;\n",
+              "      border-left-color: var(--fill-color);\n",
+              "      border-top-color: var(--fill-color);\n",
+              "    }\n",
+              "    30% {\n",
+              "      border-color: transparent;\n",
+              "      border-left-color: var(--fill-color);\n",
+              "      border-top-color: var(--fill-color);\n",
+              "      border-right-color: var(--fill-color);\n",
+              "    }\n",
+              "    40% {\n",
+              "      border-color: transparent;\n",
+              "      border-right-color: var(--fill-color);\n",
+              "      border-top-color: var(--fill-color);\n",
+              "    }\n",
+              "    60% {\n",
+              "      border-color: transparent;\n",
+              "      border-right-color: var(--fill-color);\n",
+              "    }\n",
+              "    80% {\n",
+              "      border-color: transparent;\n",
+              "      border-right-color: var(--fill-color);\n",
+              "      border-bottom-color: var(--fill-color);\n",
+              "    }\n",
+              "    90% {\n",
+              "      border-color: transparent;\n",
+              "      border-bottom-color: var(--fill-color);\n",
+              "    }\n",
+              "  }\n",
+              "</style>\n",
+              "\n",
+              "  <script>\n",
+              "    async function quickchart(key) {\n",
+              "      const quickchartButtonEl =\n",
+              "        document.querySelector('#' + key + ' button');\n",
+              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
+              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
+              "      try {\n",
+              "        const charts = await google.colab.kernel.invokeFunction(\n",
+              "            'suggestCharts', [key], {});\n",
+              "      } catch (error) {\n",
+              "        console.error('Error during call to suggestCharts:', error);\n",
+              "      }\n",
+              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
+              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
+              "    }\n",
+              "    (() => {\n",
+              "      let quickchartButtonEl =\n",
+              "        document.querySelector('#df-f016060e-e20e-44fe-a930-b46948723d22 button');\n",
+              "      quickchartButtonEl.style.display =\n",
+              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "    })();\n",
+              "  </script>\n",
+              "</div>\n",
+              "\n",
+              "  <div id=\"id_c3f01f0e-1f16-4eb4-b4ce-4ffb3c7cf67a\">\n",
+              "    <style>\n",
+              "      .colab-df-generate {\n",
+              "        background-color: #E8F0FE;\n",
+              "        border: none;\n",
+              "        border-radius: 50%;\n",
+              "        cursor: pointer;\n",
+              "        display: none;\n",
+              "        fill: #1967D2;\n",
+              "        height: 32px;\n",
+              "        padding: 0 0 0 0;\n",
+              "        width: 32px;\n",
+              "      }\n",
+              "\n",
+              "      .colab-df-generate:hover {\n",
+              "        background-color: #E2EBFA;\n",
+              "        box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "        fill: #174EA6;\n",
+              "      }\n",
+              "\n",
+              "      [theme=dark] .colab-df-generate {\n",
+              "        background-color: #3B4455;\n",
+              "        fill: #D2E3FC;\n",
+              "      }\n",
+              "\n",
+              "      [theme=dark] .colab-df-generate:hover {\n",
+              "        background-color: #434B5C;\n",
+              "        box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+              "        filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "        fill: #FFFFFF;\n",
+              "      }\n",
+              "    </style>\n",
+              "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('df')\"\n",
+              "            title=\"Generate code using this dataframe.\"\n",
+              "            style=\"display:none;\">\n",
+              "\n",
+              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
+              "       width=\"24px\">\n",
+              "    <path d=\"M7,19H8.4L18.45,9,17,7.55,7,17.6ZM5,21V16.75L18.45,3.32a2,2,0,0,1,2.83,0l1.4,1.43a1.91,1.91,0,0,1,.58,1.4,1.91,1.91,0,0,1-.58,1.4L9.25,21ZM18.45,9,17,7.55Zm-12,3A5.31,5.31,0,0,0,4.9,8.1,5.31,5.31,0,0,0,1,6.5,5.31,5.31,0,0,0,4.9,4.9,5.31,5.31,0,0,0,6.5,1,5.31,5.31,0,0,0,8.1,4.9,5.31,5.31,0,0,0,12,6.5,5.46,5.46,0,0,0,6.5,12Z\"/>\n",
+              "  </svg>\n",
+              "    </button>\n",
+              "    <script>\n",
+              "      (() => {\n",
+              "      const buttonEl =\n",
+              "        document.querySelector('#id_c3f01f0e-1f16-4eb4-b4ce-4ffb3c7cf67a button.colab-df-generate');\n",
+              "      buttonEl.style.display =\n",
+              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "\n",
+              "      buttonEl.onclick = () => {\n",
+              "        google.colab.notebook.generateWithVariable('df');\n",
+              "      }\n",
+              "      })();\n",
+              "    </script>\n",
+              "  </div>\n",
+              "\n",
+              "    </div>\n",
+              "  </div>\n"
+            ],
+            "application/vnd.google.colaboratory.intrinsic+json": {
+              "type": "dataframe",
+              "variable_name": "df"
+            }
+          },
+          "metadata": {},
+          "execution_count": 83
+        }
+      ]
+    }
+  ],
+  "metadata": {
+    "colab": {
+      "name": "Prompting.ipynb",
+      "provenance": [],
+      "include_colab_link": true
+    },
+    "google": {
+      "image_path": "/static/site-assets/images/docs/logo-python.svg",
+      "keywords": [
+        "examples",
+        "gemini",
+        "beginner",
+        "googleai",
+        "quickstart",
+        "python",
+        "text",
+        "chat",
+        "vision",
+        "embed"
+      ]
+    },
+    "kernelspec": {
+      "display_name": "Python 3",
+      "name": "python3"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}
\ No newline at end of file