From de9ea95ae7b59b2e0a80178dc76e81e24c18a26e Mon Sep 17 00:00:00 2001
From: siddesh001 <siddesh.001@gmail.com>
Date: Wed, 5 Sep 2018 03:00:32 +0000
Subject: [PATCH 1/3] 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 -> 1214 bytes
 q01_my_decision_regressor/build.py            |  26 +++++++++++++++---
 .../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, 22 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..48b7650 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 +6,30 @@
 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):
+    
+    dtr=DecisionTreeRegressor(random_state=9)
+    gsv=GridSearchCV(estimator=dtr,param_grid=Param_grid,cv=5)
+    
+    gsv.fit(X_train,y_train)
+    predicted=gsv.predict(X_test)
+    
+    r2=r2_score(y_test,predicted)
+    best=gsv.best_estimator_
+    x=dict()
+    x['max_leaf_nodes']=best.max_leaf_nodes
+    x['max_features']=best.max_features
+    x['max_depth']=best.max_depth
+    return r2,x
+
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 43eb3562f6fe97dbc0991ce11c40cae71a5c1130 Mon Sep 17 00:00:00 2001
From: siddesh001 <siddesh.001@gmail.com>
Date: Thu, 6 Sep 2018 03:00:57 +0000
Subject: [PATCH 2/3] Done

---
 .../__pycache__/__init__.cpython-36.pyc       | Bin 0 -> 176 bytes
 .../__pycache__/build.cpython-36.pyc          | Bin 0 -> 1191 bytes
 q02_decision_regressor_plot/build.py          |  29 ++++++++++++++++--
 .../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(+), 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..0fc57a1 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
@@ -5,13 +6,35 @@
 import pandas as pd
 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)
 
 depth_list = [2, 8, 10, 15, 20, 25, 30, 35, 45, 50, 80]
-
+mse_train=[]
+mse_test=[]
 # Write your solution here :
+def decision_regressor_plot(X_train,X_test,y_train,y_test,depths):
+    fig=plt.figure()
+    for d in depths:
+        dtr=DecisionTreeRegressor(max_depth=d)
+    
+        dtr.fit(X_train,y_train)
+        
+        predicted=dtr.predict(X_train)
+        mean=mean_squared_error(y_train,predicted)
+        mse_train.append(mean)
+    
+        predicted=dtr.predict(X_test)
+        mean=mean_squared_error(y_test,predicted)
+        mse_test.append(mean)
+        
+       
+    plt.plot(depth_list,mse_train)
+    plt.plot(depth_list,mse_test)
+    return fig
+ 
+    
+
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 0273d171be7c17d9f18aafa96ac33311585e3d4c Mon Sep 17 00:00:00 2001
From: siddesh001 <siddesh.001@gmail.com>
Date: Tue, 18 Sep 2018 03:12:31 +0000
Subject: [PATCH 3/3] Done

---
 .../__pycache__/__init__.cpython-36.pyc       | Bin 0 -> 177 bytes
 .../__pycache__/build.cpython-36.pyc          | Bin 0 -> 1223 bytes
 q04_decision_classifier_plot/build.py         |  24 ++++++++++++++++--
 .../tests/__pycache__/__init__.cpython-36.pyc | Bin 0 -> 183 bytes
 ...04_decision_classifier_plot.cpython-36.pyc | Bin 0 -> 1145 bytes
 5 files changed, 22 insertions(+), 2 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

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diff --git a/q04_decision_classifier_plot/build.py b/q04_decision_classifier_plot/build.py
index 44e9e87..e17d747 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
@@ -6,9 +7,8 @@
 import matplotlib.pyplot as plt
 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]
@@ -18,3 +18,23 @@
 
 
 # Write your solution here :
+def decision_classifier_plot(X_train,X_test,y_train,y_test,depths):
+        accuracy_fit=[]
+        accuracy_predict=[]
+        for a in depths:
+            dtr=DecisionTreeClassifier(max_depth=a)
+            dtr.fit(X_train,y_train)
+            predicted=dtr.predict(X_train)
+            accuracy_fit.append(accuracy_score(y_train,predicted))            
+            
+            predicted=dtr.predict(X_test)
+            accuracy_predict.append(accuracy_score(y_test,predicted))
+        plt.plot(depths,accuracy_fit)
+        plt.plot(depths,accuracy_predict)
+        plt.show()
+            
+
+
+
+
+
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