From 0d9beb2b97caddf13018e85321724a62dc326e12 Mon Sep 17 00:00:00 2001
From: EminentNeo <aniketjagtap18@gmail.com>
Date: Sun, 21 Oct 2018 12:36:57 +0000
Subject: [PATCH 1/5] Done

---
 __pycache__/__init__.cpython-36.pyc             | Bin 0 -> 154 bytes
 .../__pycache__/__init__.cpython-36.pyc         | Bin 0 -> 172 bytes
 .../__pycache__/build.cpython-36.pyc            | Bin 0 -> 774 bytes
 q01_missing_value/build.py                      |  16 +++++++++++++++-
 .../tests/__pycache__/__init__.cpython-36.pyc   | Bin 0 -> 178 bytes
 .../test_q01_imputation.cpython-36.pyc          | Bin 0 -> 2327 bytes
 6 files changed, 15 insertions(+), 1 deletion(-)
 create mode 100644 __pycache__/__init__.cpython-36.pyc
 create mode 100644 q01_missing_value/__pycache__/__init__.cpython-36.pyc
 create mode 100644 q01_missing_value/__pycache__/build.cpython-36.pyc
 create mode 100644 q01_missing_value/tests/__pycache__/__init__.cpython-36.pyc
 create mode 100644 q01_missing_value/tests/__pycache__/test_q01_imputation.cpython-36.pyc

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diff --git a/q01_missing_value/__pycache__/__init__.cpython-36.pyc b/q01_missing_value/__pycache__/__init__.cpython-36.pyc
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diff --git a/q01_missing_value/__pycache__/build.cpython-36.pyc b/q01_missing_value/__pycache__/build.cpython-36.pyc
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diff --git a/q01_missing_value/build.py b/q01_missing_value/build.py
index 7dc4d18..cb4dba5 100644
--- a/q01_missing_value/build.py
+++ b/q01_missing_value/build.py
@@ -1,3 +1,4 @@
+# %load q01_missing_value/build.py
 # Default imports
 import pandas as pd
 
@@ -5,6 +6,19 @@
 ny_housing = pd.read_csv('data/train.csv')
 # Selecting 4 most relevant variables along with target variable from the dataset fot the Cleaning and Preprocessing.
 housing_data = ny_housing[['MasVnrArea', 'GrLivArea', 'LotShape', 'GarageType', 'SalePrice']]
+df = housing_data.copy()
+df1 =df.select_dtypes(include=['int','float'])
+# Write your code here:
+
+def imputation(df):
+    df1=df.select_dtypes(include=['int','float'])
+    df2=df.select_dtypes(include=['object'])
+    df2['LotShape']=df2['LotShape'].fillna(df2['LotShape'].mode().index[0])
+    df2['GarageType']=df2['GarageType'].fillna(df2['GarageType'].value_counts().index[0])
+    for col in df1.columns:
+        df1[col] = df1[col].fillna(df1[col].mean())
+
+    return df1,df2
+
 
 
-# Write your code here:
diff --git a/q01_missing_value/tests/__pycache__/__init__.cpython-36.pyc b/q01_missing_value/tests/__pycache__/__init__.cpython-36.pyc
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From ef277b5a1005d9669dd8cb3ebd58d45ec9331367 Mon Sep 17 00:00:00 2001
From: EminentNeo <aniketjagtap18@gmail.com>
Date: Sun, 21 Oct 2018 14:13:09 +0000
Subject: [PATCH 2/5] Done

---
 .../__pycache__/__init__.cpython-36.pyc         | Bin 0 -> 174 bytes
 .../__pycache__/build.cpython-36.pyc            | Bin 0 -> 668 bytes
 q02_outlier_removal/build.py                    |  16 ++++++++++++++++
 .../tests/__pycache__/__init__.cpython-36.pyc   | Bin 0 -> 180 bytes
 .../test_q02_outlier_removal.cpython-36.pyc     | Bin 0 -> 1790 bytes
 5 files changed, 16 insertions(+)
 create mode 100644 q02_outlier_removal/__pycache__/__init__.cpython-36.pyc
 create mode 100644 q02_outlier_removal/__pycache__/build.cpython-36.pyc
 create mode 100644 q02_outlier_removal/tests/__pycache__/__init__.cpython-36.pyc
 create mode 100644 q02_outlier_removal/tests/__pycache__/test_q02_outlier_removal.cpython-36.pyc

diff --git a/q02_outlier_removal/__pycache__/__init__.cpython-36.pyc b/q02_outlier_removal/__pycache__/__init__.cpython-36.pyc
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GIT binary patch
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diff --git a/q02_outlier_removal/__pycache__/build.cpython-36.pyc b/q02_outlier_removal/__pycache__/build.cpython-36.pyc
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diff --git a/q02_outlier_removal/build.py b/q02_outlier_removal/build.py
index 74df5f2..dfd8780 100644
--- a/q02_outlier_removal/build.py
+++ b/q02_outlier_removal/build.py
@@ -1,3 +1,4 @@
+# %load q02_outlier_removal/build.py
 # Default imports
 import pandas as pd
 
@@ -8,3 +9,18 @@
 
 
 # Write your code here:
+def outlier_removal (dataset):
+    df= dataset.copy()
+    num_columns =df.select_dtypes(include=['float64','int64'])
+
+    quantile_95= num_columns.quantile(0.95)
+
+    for colname in num_columns:
+        quantile = quantile_95[ colname ]
+        df=df.drop(df[df[colname]>quantile].index)
+        
+
+    return df
+outlier_removal(housing_data)
+
+
diff --git a/q02_outlier_removal/tests/__pycache__/__init__.cpython-36.pyc b/q02_outlier_removal/tests/__pycache__/__init__.cpython-36.pyc
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From 5b320b0ad189930840b298f996464efe385d895a Mon Sep 17 00:00:00 2001
From: EminentNeo <aniketjagtap18@gmail.com>
Date: Sun, 21 Oct 2018 14:17:57 +0000
Subject: [PATCH 3/5] Done

---
 .../__pycache__/__init__.cpython-36.pyc          | Bin 0 -> 171 bytes
 .../__pycache__/build.cpython-36.pyc             | Bin 0 -> 504 bytes
 q03_skewness_log/build.py                        |   9 ++++++++-
 .../tests/__pycache__/__init__.cpython-36.pyc    | Bin 0 -> 177 bytes
 .../test_q03_skewness_log.cpython-36.pyc         | Bin 0 -> 2202 bytes
 5 files changed, 8 insertions(+), 1 deletion(-)
 create mode 100644 q03_skewness_log/__pycache__/__init__.cpython-36.pyc
 create mode 100644 q03_skewness_log/__pycache__/build.cpython-36.pyc
 create mode 100644 q03_skewness_log/tests/__pycache__/__init__.cpython-36.pyc
 create mode 100644 q03_skewness_log/tests/__pycache__/test_q03_skewness_log.cpython-36.pyc

diff --git a/q03_skewness_log/__pycache__/__init__.cpython-36.pyc b/q03_skewness_log/__pycache__/__init__.cpython-36.pyc
new file mode 100644
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literal 0
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diff --git a/q03_skewness_log/__pycache__/build.cpython-36.pyc b/q03_skewness_log/__pycache__/build.cpython-36.pyc
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diff --git a/q03_skewness_log/build.py b/q03_skewness_log/build.py
index f008d0f..42b6ab2 100644
--- a/q03_skewness_log/build.py
+++ b/q03_skewness_log/build.py
@@ -1,8 +1,15 @@
+# %load q03_skewness_log/build.py
 from scipy.stats import skew
 import pandas as pd
 import numpy as np
 
 data = pd.read_csv('data/train.csv')
+def skewness_log(data):
+
+    data['GrLivArea'] = np.log(data['GrLivArea'])
+    data['SalePrice'] = np.log(data['SalePrice'])
+
+    return skew(data['GrLivArea']),skew(data['SalePrice'])
+skewness_log(data)
 
 
-# Write code here:
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From d26f34ad497d487f1e726851588799ef65c0802f Mon Sep 17 00:00:00 2001
From: EminentNeo <aniketjagtap18@gmail.com>
Date: Sun, 21 Oct 2018 14:19:58 +0000
Subject: [PATCH 4/5] Done

---
 .../__pycache__/__init__.cpython-36.pyc          | Bin 0 -> 172 bytes
 .../__pycache__/build.cpython-36.pyc             | Bin 0 -> 503 bytes
 q03_skewness_sqrt/build.py                       |   8 ++++++++
 .../tests/__pycache__/__init__.cpython-36.pyc    | Bin 0 -> 178 bytes
 .../test-q03_skewness_sqrt.cpython-36.pyc        | Bin 0 -> 2073 bytes
 5 files changed, 8 insertions(+)
 create mode 100644 q03_skewness_sqrt/__pycache__/__init__.cpython-36.pyc
 create mode 100644 q03_skewness_sqrt/__pycache__/build.cpython-36.pyc
 create mode 100644 q03_skewness_sqrt/tests/__pycache__/__init__.cpython-36.pyc
 create mode 100644 q03_skewness_sqrt/tests/__pycache__/test-q03_skewness_sqrt.cpython-36.pyc

diff --git a/q03_skewness_sqrt/__pycache__/__init__.cpython-36.pyc b/q03_skewness_sqrt/__pycache__/__init__.cpython-36.pyc
new file mode 100644
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GIT binary patch
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diff --git a/q03_skewness_sqrt/__pycache__/build.cpython-36.pyc b/q03_skewness_sqrt/__pycache__/build.cpython-36.pyc
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diff --git a/q03_skewness_sqrt/build.py b/q03_skewness_sqrt/build.py
index 4bdb0e4..3a5da89 100644
--- a/q03_skewness_sqrt/build.py
+++ b/q03_skewness_sqrt/build.py
@@ -1,3 +1,4 @@
+# %load q03_skewness_sqrt/build.py
 # Default imports
 from scipy.stats import skew
 import pandas as pd
@@ -7,4 +8,11 @@
 
 
 # Write your Solution Here:
+def skewness_sqrt(ny_housing):
+    
+    ny_housing['SalePrice'] = np.sqrt(ny_housing['SalePrice'])
+    ny_housing['GrLivArea'] = np.sqrt(ny_housing['GrLivArea'])
+
+    return skew(ny_housing['GrLivArea']),skew(ny_housing['SalePrice'])
+
 
diff --git a/q03_skewness_sqrt/tests/__pycache__/__init__.cpython-36.pyc b/q03_skewness_sqrt/tests/__pycache__/__init__.cpython-36.pyc
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From c46018dc810ca709499bf04b070b5997a2b492a0 Mon Sep 17 00:00:00 2001
From: EminentNeo <aniketjagtap18@gmail.com>
Date: Sun, 21 Oct 2018 14:27:21 +0000
Subject: [PATCH 5/5] Done

---
 q04_encoding/__pycache__/__init__.cpython-36.pyc | Bin 0 -> 167 bytes
 q04_encoding/__pycache__/build.cpython-36.pyc    | Bin 0 -> 618 bytes
 q04_encoding/build.py                            |   8 ++++++++
 .../tests/__pycache__/__init__.cpython-36.pyc    | Bin 0 -> 173 bytes
 .../__pycache__/test_q04_encoding.cpython-36.pyc | Bin 0 -> 1731 bytes
 5 files changed, 8 insertions(+)
 create mode 100644 q04_encoding/__pycache__/__init__.cpython-36.pyc
 create mode 100644 q04_encoding/__pycache__/build.cpython-36.pyc
 create mode 100644 q04_encoding/tests/__pycache__/__init__.cpython-36.pyc
 create mode 100644 q04_encoding/tests/__pycache__/test_q04_encoding.cpython-36.pyc

diff --git a/q04_encoding/__pycache__/__init__.cpython-36.pyc b/q04_encoding/__pycache__/__init__.cpython-36.pyc
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diff --git a/q04_encoding/build.py b/q04_encoding/build.py
index a52c57f..f055131 100644
--- a/q04_encoding/build.py
+++ b/q04_encoding/build.py
@@ -1,3 +1,4 @@
+# %load q04_encoding/build.py
 # Default imports
 import pandas as pd
 from sklearn.preprocessing import LabelEncoder
@@ -7,4 +8,11 @@
 
 
 # Write your code here:
+def encoding(housing_data):
+
+    label_encoder = LabelEncoder()
+    housing_data['LotShape_label'] = label_encoder.fit_transform(housing_data['LotShape'])
+    housing_data = pd.get_dummies(housing_data, columns=['GarageType'])
+    return housing_data
+
 
diff --git a/q04_encoding/tests/__pycache__/__init__.cpython-36.pyc b/q04_encoding/tests/__pycache__/__init__.cpython-36.pyc
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