From fe53ead51df58061363653094e20447eb2e9c77c Mon Sep 17 00:00:00 2001
From: rianboy18 <pranavr95.pn@gmail.com>
Date: Sun, 21 Oct 2018 18:16:39 +0000
Subject: [PATCH 1/4] Done

---
 __pycache__/__init__.cpython-36.pyc           | Bin 0 -> 147 bytes
 .../__pycache__/__init__.cpython-36.pyc       | Bin 0 -> 173 bytes
 .../__pycache__/build.cpython-36.pyc          | Bin 0 -> 1221 bytes
 q01_my_decision_regressor/build.py            |  24 +++++++++++++-----
 .../tests/__pycache__/__init__.cpython-36.pyc | Bin 0 -> 179 bytes
 ...t_q01_my_decision_regressor.cpython-36.pyc | Bin 0 -> 2990 bytes
 6 files changed, 18 insertions(+), 6 deletions(-)
 create mode 100644 __pycache__/__init__.cpython-36.pyc
 create mode 100644 q01_my_decision_regressor/__pycache__/__init__.cpython-36.pyc
 create mode 100644 q01_my_decision_regressor/__pycache__/build.cpython-36.pyc
 create mode 100644 q01_my_decision_regressor/tests/__pycache__/__init__.cpython-36.pyc
 create mode 100644 q01_my_decision_regressor/tests/__pycache__/test_q01_my_decision_regressor.cpython-36.pyc

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diff --git a/q01_my_decision_regressor/build.py b/q01_my_decision_regressor/build.py
index 5eb1927..7bfeb74 100644
--- a/q01_my_decision_regressor/build.py
+++ b/q01_my_decision_regressor/build.py
@@ -1,17 +1,29 @@
+# %load q01_my_decision_regressor/build.py
 # default imports
 from sklearn.model_selection import GridSearchCV
 from sklearn.tree import DecisionTreeRegressor
 from sklearn.metrics import r2_score
 from sklearn.model_selection import train_test_split
 import pandas as pd
-
-data = pd.read_csv("./data/house_pricing.csv")
+import numpy as np
+from sklearn.metrics import mean_squared_error
+data = pd.read_csv('./data/house_pricing.csv')
 X = data.iloc[:, :-1]
 y = data.iloc[:, -1]
 X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=9)
 
-param_grid = {"max_depth": [2, 3, 5, 6, 8, 10, 15, 20, 30, 50],
-              "max_leaf_nodes": [2, 3, 4, 5, 10, 15, 20],
-              "max_features": [4, 8, 20, 25]}
+param_grid = {'max_depth': [2, 3, 5, 6, 8, 10, 15, 20, 30, 50],
+              'max_leaf_nodes': [2, 3, 4, 5, 10, 15, 20],
+              'max_features': [4, 8, 20, 25]}
+def my_decision_regressor(X_train,X_test,y_train,y_test,param_grid):
+    dt = DecisionTreeRegressor(random_state=9)
+    gcv = GridSearchCV(dt,param_grid,cv=5)
+    model1 = gcv.fit(X_train,y_train)
+    y_pred = model1.predict(X_test)
+    estimator = gcv.get_params()['estimator']
+    return model1.score(X_test,y_test),(gcv.best_params_)
+    
+c=my_decision_regressor(X_train,X_test,y_train,y_test,param_grid) 
+c
+
 
-# Write your solution here :
diff --git a/q01_my_decision_regressor/tests/__pycache__/__init__.cpython-36.pyc b/q01_my_decision_regressor/tests/__pycache__/__init__.cpython-36.pyc
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From d85ef49351faa67ce36999ef8cfee04045bf9f85 Mon Sep 17 00:00:00 2001
From: rianboy18 <pranavr95.pn@gmail.com>
Date: Mon, 22 Oct 2018 11:48:02 +0000
Subject: [PATCH 2/4] Done

---
 .../__pycache__/__init__.cpython-36.pyc       | Bin 0 -> 174 bytes
 .../__pycache__/build.cpython-36.pyc          | Bin 0 -> 1188 bytes
 q03_my_decision_classifier/build.py           |  21 +++++++++++++-----
 .../tests/__pycache__/__init__.cpython-36.pyc | Bin 0 -> 180 bytes
 ..._q03_my_decision_classifier.cpython-36.pyc | Bin 0 -> 3026 bytes
 5 files changed, 16 insertions(+), 5 deletions(-)
 create mode 100644 q03_my_decision_classifier/__pycache__/__init__.cpython-36.pyc
 create mode 100644 q03_my_decision_classifier/__pycache__/build.cpython-36.pyc
 create mode 100644 q03_my_decision_classifier/tests/__pycache__/__init__.cpython-36.pyc
 create mode 100644 q03_my_decision_classifier/tests/__pycache__/test_q03_my_decision_classifier.cpython-36.pyc

diff --git a/q03_my_decision_classifier/__pycache__/__init__.cpython-36.pyc b/q03_my_decision_classifier/__pycache__/__init__.cpython-36.pyc
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diff --git a/q03_my_decision_classifier/build.py b/q03_my_decision_classifier/build.py
index 73c9856..ff6852c 100644
--- a/q03_my_decision_classifier/build.py
+++ b/q03_my_decision_classifier/build.py
@@ -1,3 +1,4 @@
+# %load q03_my_decision_classifier/build.py
 # default imports
 from sklearn.model_selection import RandomizedSearchCV
 from sklearn.tree import DecisionTreeClassifier
@@ -6,16 +7,26 @@
 import pandas as pd
 import numpy as np
 
-data = pd.read_csv("./data/loan_prediction.csv")
+data = pd.read_csv('./data/loan_prediction.csv')
 np.random.seed(9)
 X = data.iloc[:, :-1]
 y = data.iloc[:, -1]
 X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=9)
 
-param_grid = {"max_depth": [8, 10, 15, 20],
-              "max_leaf_nodes": [2, 5, 9, 15, 20],
-              "max_features": [1, 2, 3, 5]}
+param_grid = {'max_depth': [8, 10, 15, 20],
+              'max_leaf_nodes': [2, 5, 9, 15, 20],
+              'max_features': [1, 2, 3, 5]}
+
+
+def my_decision_classifier(X_train,X_test,y_train,y_test,param_grid,n_iter_search=10):
+    dtc = DecisionTreeClassifier(random_state=9)
+    rscv = RandomizedSearchCV(dtc,param_grid,n_iter=10)
+    model = rscv.fit(X_train,y_train)
+    y_pred = model.predict(X_test)
+    ac = accuracy_score(y_test,y_pred)
+    return ac,model.best_params_
+c=my_decision_classifier(X_train,X_test,y_train,y_test,param_grid,n_iter_search=10)
+c
 
 
-# Write your solution here :
 
diff --git a/q03_my_decision_classifier/tests/__pycache__/__init__.cpython-36.pyc b/q03_my_decision_classifier/tests/__pycache__/__init__.cpython-36.pyc
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From efddb3f4584a2289ac947cd0121d13813cf66f2e Mon Sep 17 00:00:00 2001
From: rianboy18 <pranavr95.pn@gmail.com>
Date: Mon, 29 Oct 2018 15:20:31 +0000
Subject: [PATCH 3/4] Done

---
 .../__pycache__/__init__.cpython-36.pyc       | Bin 0 -> 175 bytes
 .../__pycache__/build.cpython-36.pyc          | Bin 0 -> 1211 bytes
 q02_decision_regressor_plot/build.py          |  25 +++++++++++++++---
 .../tests/__pycache__/__init__.cpython-36.pyc | Bin 0 -> 181 bytes
 ...q02_decision_regressor_plot.cpython-36.pyc | Bin 0 -> 1134 bytes
 5 files changed, 22 insertions(+), 3 deletions(-)
 create mode 100644 q02_decision_regressor_plot/__pycache__/__init__.cpython-36.pyc
 create mode 100644 q02_decision_regressor_plot/__pycache__/build.cpython-36.pyc
 create mode 100644 q02_decision_regressor_plot/tests/__pycache__/__init__.cpython-36.pyc
 create mode 100644 q02_decision_regressor_plot/tests/__pycache__/test_q02_decision_regressor_plot.cpython-36.pyc

diff --git a/q02_decision_regressor_plot/__pycache__/__init__.cpython-36.pyc b/q02_decision_regressor_plot/__pycache__/__init__.cpython-36.pyc
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diff --git a/q02_decision_regressor_plot/build.py b/q02_decision_regressor_plot/build.py
index 020d81e..edf2c6a 100644
--- a/q02_decision_regressor_plot/build.py
+++ b/q02_decision_regressor_plot/build.py
@@ -1,3 +1,4 @@
+# %load q02_decision_regressor_plot/build.py
 # default imports
 from sklearn.model_selection import train_test_split
 from sklearn.tree import DecisionTreeRegressor
@@ -7,11 +8,29 @@
 import numpy as np
 plt.switch_backend('agg')
 
-data = pd.read_csv("./data/house_pricing.csv")
+data = pd.read_csv('./data/house_pricing.csv')
 X = data.iloc[:, :-1]
 y = data.iloc[:, -1]
 X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=9)
 
-depth_list = [2, 8, 10, 15, 20, 25, 30, 35, 45, 50, 80]
+depths= [2, 8, 10, 15, 20, 25, 30, 35, 45, 50, 80]
+def decision_regressor_plot(X_train,X_test,y_train,y_test,depths):
+    mse_train = []
+    mse_test = []
+    
+    for i in depths:
+        dtr = DecisionTreeRegressor(max_depth=i)
+        model = dtr.fit(X_train,y_train)
+        y_pred1 = model.predict(X_train)
+        e = mean_squared_error(y_train,y_pred1)
+        mse_train.append(e)
+        
+        y_pred2 = model.predict(X_test)
+        t = mean_squared_error(y_test,y_pred2)
+        mse_test.append(t)
+    
+    plt.plot(depths,mse_train)
+    plt.plot(depths,mse_test)
+c=decision_regressor_plot(X_train,X_test,y_train,y_test,depths)
+
 
-# Write your solution here :
diff --git a/q02_decision_regressor_plot/tests/__pycache__/__init__.cpython-36.pyc b/q02_decision_regressor_plot/tests/__pycache__/__init__.cpython-36.pyc
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From 92271660cbc3cd2f1d51f2ef7bc9b44e50e73983 Mon Sep 17 00:00:00 2001
From: rianboy18 <pranavr95.pn@gmail.com>
Date: Mon, 29 Oct 2018 15:32:07 +0000
Subject: [PATCH 4/4] Done

---
 .../__pycache__/__init__.cpython-36.pyc       | Bin 0 -> 176 bytes
 .../__pycache__/build.cpython-36.pyc          | Bin 0 -> 1452 bytes
 q04_decision_classifier_plot/build.py         |  31 ++++++++++++++++--
 .../tests/__pycache__/__init__.cpython-36.pyc | Bin 0 -> 182 bytes
 ...04_decision_classifier_plot.cpython-36.pyc | Bin 0 -> 1144 bytes
 5 files changed, 28 insertions(+), 3 deletions(-)
 create mode 100644 q04_decision_classifier_plot/__pycache__/__init__.cpython-36.pyc
 create mode 100644 q04_decision_classifier_plot/__pycache__/build.cpython-36.pyc
 create mode 100644 q04_decision_classifier_plot/tests/__pycache__/__init__.cpython-36.pyc
 create mode 100644 q04_decision_classifier_plot/tests/__pycache__/test_q04_decision_classifier_plot.cpython-36.pyc

diff --git a/q04_decision_classifier_plot/__pycache__/__init__.cpython-36.pyc b/q04_decision_classifier_plot/__pycache__/__init__.cpython-36.pyc
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diff --git a/q04_decision_classifier_plot/build.py b/q04_decision_classifier_plot/build.py
index 44e9e87..479a14f 100644
--- a/q04_decision_classifier_plot/build.py
+++ b/q04_decision_classifier_plot/build.py
@@ -1,3 +1,4 @@
+# %load q04_decision_classifier_plot/build.py
 # default imports
 from sklearn.model_selection import RandomizedSearchCV
 from sklearn.tree import DecisionTreeClassifier
@@ -7,14 +8,38 @@
 import pandas as pd
 import numpy as np
 plt.switch_backend('agg')
-
-data = pd.read_csv("./data/loan_prediction.csv")
+data = pd.read_csv('./data/loan_prediction.csv')
 np.random.seed(9)
 X = data.iloc[:, :-1]
 y = data.iloc[:, -1]
 X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=9)
 
+param_grid = {'max_depth': [8, 10, 15, 20],
+              'max_leaf_nodes': [2, 5, 9, 15, 20],
+              'max_features': [1, 2, 3, 5]}
+
+
+
 depth_list = [8, 10, 15, 20, 50, 100, 120, 150, 175, 200]
+res = []
+acc_list=[]
+def decision_classifier_plot(X_train,X_test,y_train,y_test,depth_list):
+    for i in depth_list:
+        dtc = DecisionTreeClassifier(max_depth=i,random_state=9)
+        rscv = RandomizedSearchCV(dtc,param_grid,n_iter=10)
+        model = rscv.fit(X_train,y_train)
+        y_pred1 = model.predict(X_train)
+        acc = accuracy_score(y_train,y_pred1)
+        res.append(acc)
+
+
+        y_pred2 = model.predict(X_test)
+        ac = accuracy_score(y_test,y_pred2)
+        acc_list.append(ac)
+    plt.plot(depth_list,res)
+    plt.plot(depth_list,acc_list)
+
+
+c = decision_classifier_plot(X_train,X_test,y_train,y_test,depth_list)
 
 
-# Write your solution here :
diff --git a/q04_decision_classifier_plot/tests/__pycache__/__init__.cpython-36.pyc b/q04_decision_classifier_plot/tests/__pycache__/__init__.cpython-36.pyc
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