From 2fd15fa3bd34ce7c23e26179803ce0f0dfb1a180 Mon Sep 17 00:00:00 2001
From: prodigy803 <pushkaraj803@gmail.com>
Date: Mon, 17 Dec 2018 11:21:38 +0000
Subject: [PATCH 1/4] Done

---
 __pycache__/__init__.cpython-36.pyc           | Bin 0 -> 148 bytes
 .../__pycache__/__init__.cpython-36.pyc       | Bin 0 -> 174 bytes
 .../__pycache__/build.cpython-36.pyc          | Bin 0 -> 1107 bytes
 q01_my_decision_regressor/build.py            |  20 ++++++++++++++----
 .../tests/__pycache__/__init__.cpython-36.pyc | Bin 0 -> 180 bytes
 ...t_q01_my_decision_regressor.cpython-36.pyc | Bin 0 -> 2991 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/__pycache__/__init__.cpython-36.pyc b/q01_my_decision_regressor/__pycache__/__init__.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..ef29bdd 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):
+    dt_regressor = DecisionTreeRegressor(random_state=9)
+    grid_search = GridSearchCV(dt_regressor,param_grid=param_grid,cv=5)
+    
+    grid_search.fit(X_train,y_train)
+    predictions = grid_search.predict(X_test)
+    
+    return r2_score(y_test,predictions),grid_search.best_params_
+
+
+
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From 44bd1292a5103c81dc977a335f716e938349327e Mon Sep 17 00:00:00 2001
From: prodigy803 <pushkaraj803@gmail.com>
Date: Mon, 17 Dec 2018 11:38:24 +0000
Subject: [PATCH 2/4] Done

---
 .../__pycache__/__init__.cpython-36.pyc       | Bin 0 -> 176 bytes
 .../__pycache__/build.cpython-36.pyc          | Bin 0 -> 1387 bytes
 q02_decision_regressor_plot/build.py          |  28 ++++++++++++++++--
 .../tests/__pycache__/__init__.cpython-36.pyc | Bin 0 -> 182 bytes
 ...q02_decision_regressor_plot.cpython-36.pyc | Bin 0 -> 1135 bytes
 5 files changed, 26 insertions(+), 2 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..6ef8ddd 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
@@ -6,8 +7,7 @@
 import matplotlib.pyplot as plt
 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 +15,27 @@
 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,depth_list):
+    
+    errors_test = []
+    errors_train = []
+    for i in range(len(depth_list)):
+        dt_Reg = DecisionTreeRegressor(max_depth=depth_list[i],random_state=9)
+        dt_Reg.fit(X_train,y_train)
+        
+        preds_train = dt_Reg.predict(X_train)
+        preds_test = dt_Reg.predict(X_test)
+        
+        errors_train.append(mean_squared_error(y_train,preds_train))
+        errors_test.append(mean_squared_error(y_test,preds_test))
+        
+    plt.plot(depth_list,errors_train,label='Train Error')
+    plt.plot(depth_list,errors_test,label='Test Error')
+    plt.legend()
+    plt.ylabel('Mean Squared Error')
+    plt.xlabel('Max Depth')
+    plt.show()
+decision_regressor_plot(X_train,X_test,y_train,y_test,depth_list)
+
+
+
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 4dc2cd00476b50f561a8a5d8e93f479cf6bc3cf5 Mon Sep 17 00:00:00 2001
From: prodigy803 <pushkaraj803@gmail.com>
Date: Mon, 17 Dec 2018 11:53:09 +0000
Subject: [PATCH 3/4] Done

---
 .../__pycache__/__init__.cpython-36.pyc       | Bin 0 -> 175 bytes
 .../__pycache__/build.cpython-36.pyc          | Bin 0 -> 1144 bytes
 q03_my_decision_classifier/build.py           |  18 ++++++++++++++----
 .../tests/__pycache__/__init__.cpython-36.pyc | Bin 0 -> 181 bytes
 ..._q03_my_decision_classifier.cpython-36.pyc | Bin 0 -> 3027 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..bad931a 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):
+    dt_reg = DecisionTreeClassifier(random_state=9)
+    random_cv = RandomizedSearchCV(dt_reg,param_distributions=param_grid,n_iter=n_iter_search)
+    
+    random_cv.fit(X_train,y_train)
+    return accuracy_score(y_test,random_cv.predict(X_test)),random_cv.best_params_
+
+
+
 
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 2cfac44de345240f78dd2c96b46f9e59fedd08ee Mon Sep 17 00:00:00 2001
From: prodigy803 <pushkaraj803@gmail.com>
Date: Mon, 17 Dec 2018 12:03:31 +0000
Subject: [PATCH 4/4] Done

---
 .../__pycache__/__init__.cpython-36.pyc       | Bin 0 -> 177 bytes
 .../__pycache__/build.cpython-36.pyc          | Bin 0 -> 1310 bytes
 q04_decision_classifier_plot/build.py         |  22 +++++++++++++++++-
 .../tests/__pycache__/__init__.cpython-36.pyc | Bin 0 -> 183 bytes
 ...04_decision_classifier_plot.cpython-36.pyc | Bin 0 -> 1145 bytes
 5 files changed, 21 insertions(+), 1 deletion(-)
 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

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diff --git a/q04_decision_classifier_plot/build.py b/q04_decision_classifier_plot/build.py
index 44e9e87..7965586 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 +19,22 @@
 
 
 # Write your solution here :
+def decision_classifier_plot(X_train,X_test,y_train,y_test,depth_list):
+    error_train = []
+    error_test = []
+    for i in range(len(depth_list)):
+        dt_classifier = DecisionTreeClassifier(max_depth=depth_list[i],random_state=9)
+        dt_classifier.fit(X_train,y_train)
+        predict_train = dt_classifier.predict(X_train)
+        predict_test = dt_classifier.predict(X_test)
+
+        error_train.append(accuracy_score(y_train,predict_train))
+
+        error_test.append(accuracy_score(y_test,predict_test))
+
+
+    plt.plot(depth_list,error_test)
+    plt.plot(depth_list,error_train)
+    plt.show()
+
+
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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