From 1f6400443e381974ac3aad8890d76c0052161556 Mon Sep 17 00:00:00 2001
From: rushabh-mehta <rushabh123@gmail.com>
Date: Fri, 2 Nov 2018 10:55:35 +0000
Subject: [PATCH 1/4] Done

---
 __pycache__/__init__.cpython-36.pyc           | Bin 0 -> 151 bytes
 .../__pycache__/__init__.cpython-36.pyc       | Bin 0 -> 177 bytes
 .../__pycache__/build.cpython-36.pyc          | Bin 0 -> 1172 bytes
 q01_my_decision_regressor/build.py            |  20 ++++++++++++++----
 .../tests/__pycache__/__init__.cpython-36.pyc | Bin 0 -> 183 bytes
 ...t_q01_my_decision_regressor.cpython-36.pyc | Bin 0 -> 2994 bytes
 6 files changed, 16 insertions(+), 4 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..20c1fb0 100644
--- a/q01_my_decision_regressor/build.py
+++ b/q01_my_decision_regressor/build.py
@@ -1,3 +1,4 @@
+# %load q01_my_decision_regressor/build.py
 # default imports
 from sklearn.model_selection import GridSearchCV
 from sklearn.tree import DecisionTreeRegressor
@@ -5,13 +6,24 @@
 from sklearn.model_selection import train_test_split
 import pandas as pd
 
-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)
 
-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]}
 
 # Write your solution here :
+def my_decision_regressor(X_train,X_test,y_train,y_test,param_grid):
+    tree_regressor = DecisionTreeRegressor(random_state=9)
+    best_tree_regressor = GridSearchCV(tree_regressor,param_grid=param_grid,cv=5)
+    best_tree_regressor.fit(X_train,y_train)
+    y_pred = best_tree_regressor.predict(X_test)
+    r2_value = r2_score(y_test,y_pred)
+    best_parameters = best_tree_regressor.best_params_
+    return r2_value,best_parameters
+my_decision_regressor(X_train,X_test,y_train,y_test,param_grid)
+
+
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 5839807e338c05b227cdc09b2cd49b68ea11930c Mon Sep 17 00:00:00 2001
From: rushabh-mehta <rushabh123@gmail.com>
Date: Fri, 2 Nov 2018 11:06:01 +0000
Subject: [PATCH 2/4] Done

---
 .../__pycache__/__init__.cpython-36.pyc       | Bin 0 -> 179 bytes
 .../__pycache__/build.cpython-36.pyc          | Bin 0 -> 1269 bytes
 q02_decision_regressor_plot/build.py          |  19 +++++++++++++++++-
 .../tests/__pycache__/__init__.cpython-36.pyc | Bin 0 -> 185 bytes
 ...q02_decision_regressor_plot.cpython-36.pyc | Bin 0 -> 1138 bytes
 5 files changed, 18 insertions(+), 1 deletion(-)
 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..b88d35e 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
@@ -7,7 +8,7 @@
 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)
@@ -15,3 +16,19 @@
 depth_list = [2, 8, 10, 15, 20, 25, 30, 35, 45, 50, 80]
 
 # Write your solution here :
+def decision_regressor_plot(X_train,X_test,y_train,y_test,depths):
+    mean_square_errors_test = []
+    mean_square_errors_train = []
+    for depth in depths:
+        tree_regressor = DecisionTreeRegressor(max_depth=depth)
+        tree_regressor.fit(X_train,y_train)
+        y_pred_train = tree_regressor.predict(X_train)
+        y_pred_test = tree_regressor.predict(X_test)
+        mean_square_errors_test.append(mean_squared_error(y_test,y_pred_test))
+        mean_square_errors_train.append(mean_squared_error(y_train,y_pred_train))
+    plt.plot(depth_list,mean_square_errors_train)
+    plt.plot(depth_list,mean_square_errors_test)
+decision_regressor_plot(X_train,X_test,y_train,y_test,depth_list)
+plt.show()
+
+
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 0149b9f653acf65c2d9cce2d3f6683eed592a093 Mon Sep 17 00:00:00 2001
From: rushabh-mehta <rushabh123@gmail.com>
Date: Sat, 29 Dec 2018 08:20:39 +0000
Subject: [PATCH 3/4] Done

---
 .../__pycache__/__init__.cpython-36.pyc       | Bin 0 -> 178 bytes
 .../__pycache__/build.cpython-36.pyc          | Bin 0 -> 1190 bytes
 q03_my_decision_classifier/build.py           |  18 ++++++++++++++----
 .../tests/__pycache__/__init__.cpython-36.pyc | Bin 0 -> 184 bytes
 ..._q03_my_decision_classifier.cpython-36.pyc | Bin 0 -> 3030 bytes
 5 files changed, 14 insertions(+), 4 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
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diff --git a/q03_my_decision_classifier/build.py b/q03_my_decision_classifier/build.py
index 73c9856..e4e4906 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 +7,25 @@
 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]}
 
 
 # Write your solution here :
+def my_decision_classifier(X_train,X_test,y_train,y_test,param_grid,n_iter_search=10):
+    tree_clf = DecisionTreeClassifier(random_state=9)
+    random_search = RandomizedSearchCV(tree_clf,param_distributions=param_grid,n_iter=n_iter_search)
+    results = random_search.fit(X_train,y_train)
+    final_score = random_search.score(X_test,y_test)
+    return final_score,random_search.best_params_
+my_decision_classifier(X_train,X_test,y_train,y_test,param_grid,10)
+
+
 
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 d3acd95cf5603e51a50f504cf98ca9247f5096b5 Mon Sep 17 00:00:00 2001
From: rushabh-mehta <rushabh123@gmail.com>
Date: Sat, 29 Dec 2018 08:31:33 +0000
Subject: [PATCH 4/4] Done

---
 .../__pycache__/__init__.cpython-36.pyc          | Bin 0 -> 180 bytes
 .../__pycache__/build.cpython-36.pyc             | Bin 0 -> 1221 bytes
 q04_decision_classifier_plot/build.py            |  15 ++++++++++++++-
 .../tests/__pycache__/__init__.cpython-36.pyc    | Bin 0 -> 186 bytes
 ...t_q04_decision_classifier_plot.cpython-36.pyc | Bin 0 -> 1148 bytes
 5 files changed, 14 insertions(+), 1 deletion(-)
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 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

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diff --git a/q04_decision_classifier_plot/build.py b/q04_decision_classifier_plot/build.py
index 44e9e87..4bf2679 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
@@ -8,7 +9,7 @@
 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]
@@ -18,3 +19,15 @@
 
 
 # Write your solution here :
+def decision_classifier_plot(X_train,X_test,y_train,y_test,depths):
+    train_scores=[]
+    test_scores=[]
+    for depth in depths:
+        tree_clf = DecisionTreeClassifier(max_depth=depth)
+        tree_clf.fit(X_train,y_train)
+        train_scores.append(tree_clf.score(X_train,y_train))
+        test_scores.append(tree_clf.score(X_test,y_test))
+    return plt.plot(depths,train_scores),plt.plot(depths,test_scores)
+decision_classifier_plot(X_train,X_test,y_train,y_test,depth_list)
+
+
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