From c34acdf8a0bf1e1b85f0bfc051db9c43753d837d Mon Sep 17 00:00:00 2001
From: tracedence <shoaibrashid887@gmail.com>
Date: Mon, 28 Jan 2019 09:08:02 +0000
Subject: [PATCH 1/6] 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 -> 1127 bytes
 q01_my_decision_regressor/build.py            |  21 ++++++++++++++----
 .../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, 17 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..64a46ef 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 +6,25 @@
 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):
+    
+    reg_tree = GridSearchCV(DecisionTreeRegressor(random_state=9), param_grid,cv=5)
+    reg_tree.fit(X_train,y_train,)
+    y_pred = reg_tree.predict(X_test)
+    r_square = r2_score(y_test,y_pred)
+    best_params = reg_tree.best_params_
+    
+    return r_square, best_params
+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 54c486991a22296845e65bc02f476c224cfc5afd Mon Sep 17 00:00:00 2001
From: tracedence <shoaibrashid887@gmail.com>
Date: Mon, 28 Jan 2019 11:49:15 +0000
Subject: [PATCH 2/6] Done

---
 .../__pycache__/__init__.cpython-36.pyc       | Bin 0 -> 176 bytes
 .../__pycache__/build.cpython-36.pyc          | Bin 0 -> 1319 bytes
 q02_decision_regressor_plot/build.py          |  24 +++++++++++++++++-
 .../tests/__pycache__/__init__.cpython-36.pyc | Bin 0 -> 182 bytes
 ...q02_decision_regressor_plot.cpython-36.pyc | Bin 0 -> 1135 bytes
 5 files changed, 23 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..f3a282c 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 +16,24 @@
 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):
+    
+    error1 = []
+    error = []
+    for d in depth_list:
+        reg_tree = DecisionTreeRegressor(random_state=9, max_depth=d)
+        reg_tree.fit(X_train,y_train)
+        y_pred = reg_tree.predict(X_test)
+        error.append( mean_squared_error(y_test, y_pred))
+        y_pred1 = reg_tree.predict(X_train)
+        error1.append(mean_squared_error(y_train, y_pred1))
+    
+    plt.plot(depth_list, error1, label = 'train set')
+    plt.plot(depth_list, error, label = 'test set')
+    plt.xlabel('depths')
+    plt.ylabel('mean square error')
+    plt.legend()
+    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 d84d36e5f654f914069475185b742302da8344b6 Mon Sep 17 00:00:00 2001
From: tracedence <shoaibrashid887@gmail.com>
Date: Mon, 28 Jan 2019 11:51:08 +0000
Subject: [PATCH 3/6] Done

---
 q02_decision_regressor_plot/build.py | 12 ++++++------
 1 file changed, 6 insertions(+), 6 deletions(-)

diff --git a/q02_decision_regressor_plot/build.py b/q02_decision_regressor_plot/build.py
index f3a282c..087df07 100644
--- a/q02_decision_regressor_plot/build.py
+++ b/q02_decision_regressor_plot/build.py
@@ -18,18 +18,18 @@
 # Write your solution here :
 def decision_regressor_plot(X_train, X_test, y_train, y_test, depth_list):
     
-    error1 = []
-    error = []
+    train_error = []
+    test_error = []
     for d in depth_list:
         reg_tree = DecisionTreeRegressor(random_state=9, max_depth=d)
         reg_tree.fit(X_train,y_train)
         y_pred = reg_tree.predict(X_test)
-        error.append( mean_squared_error(y_test, y_pred))
+        test_error.append( mean_squared_error(y_test, y_pred))
         y_pred1 = reg_tree.predict(X_train)
-        error1.append(mean_squared_error(y_train, y_pred1))
+        train_error.append(mean_squared_error(y_train, y_pred1))
     
-    plt.plot(depth_list, error1, label = 'train set')
-    plt.plot(depth_list, error, label = 'test set')
+    plt.plot(depth_list, train_error, label = 'train set')
+    plt.plot(depth_list, test_error, label = 'test set')
     plt.xlabel('depths')
     plt.ylabel('mean square error')
     plt.legend()

From 0869b85d59f5f4f4037f9b4832ae65f4d1afc5fa Mon Sep 17 00:00:00 2001
From: tracedence <shoaibrashid887@gmail.com>
Date: Mon, 28 Jan 2019 12:00:31 +0000
Subject: [PATCH 4/6] Done

---
 .../__pycache__/__init__.cpython-36.pyc       | Bin 0 -> 175 bytes
 .../__pycache__/build.cpython-36.pyc          | Bin 0 -> 1150 bytes
 q03_my_decision_classifier/build.py           |  20 ++++++++++++++----
 .../tests/__pycache__/__init__.cpython-36.pyc | Bin 0 -> 181 bytes
 ..._q03_my_decision_classifier.cpython-36.pyc | Bin 0 -> 3027 bytes
 5 files changed, 16 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
 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..17ad598 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 +7,27 @@
 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_serach = 10):
+    
+    classifier_tree = RandomizedSearchCV(DecisionTreeClassifier(random_state=9), param_grid, )
+    classifier_tree.fit(X_train, y_train)
+    y_pred = classifier_tree.predict(X_test)
+    accuracy = accuracy_score(y_test, y_pred)
+    best_params = classifier_tree.best_params_
+    
+    return accuracy, 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 9c05515fd68836686a98d01655c7edc032ce4b2a Mon Sep 17 00:00:00 2001
From: tracedence <shoaibrashid887@gmail.com>
Date: Mon, 28 Jan 2019 12:17:25 +0000
Subject: [PATCH 5/6] Done

---
 .../__pycache__/__init__.cpython-36.pyc       | Bin 0 -> 177 bytes
 .../__pycache__/build.cpython-36.pyc          | Bin 0 -> 1434 bytes
 q04_decision_classifier_plot/build.py         |  30 +++++++++++++++++-
 .../tests/__pycache__/__init__.cpython-36.pyc | Bin 0 -> 183 bytes
 ...04_decision_classifier_plot.cpython-36.pyc | Bin 0 -> 1145 bytes
 5 files changed, 29 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

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..8cc66f2 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 +9,8 @@
 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 +20,29 @@
 
 
 # Write your solution here :
+def decision_classifier_plot(X_train, X_test, y_train, y_test, depth_list):
+    
+    train_error = []
+    test_error = []
+    for d in depth_list:
+        classifier_tree = DecisionTreeClassifier(random_state=9, max_depth=d)
+        classifier_tree.fit(X_train, y_train)
+
+        y_pred = classifier_tree.predict(X_train)
+        train_error.append(accuracy_score(y_train, y_pred))
+
+        y_pred1 = classifier_tree.predict(X_test)
+        test_error.append(accuracy_score(y_test, y_pred1))
+
+    plt.plot(depth_list, train_error, label = 'train_accuracy')
+    plt.plot(depth_list, test_error, label = 'test_accuracy')
+    plt.xlabel('Depths')
+    plt.ylabel('accuracy')
+    plt.legend(loc=1)
+    plt.show()
+
+decision_classifier_plot(X_train, X_test, y_train, y_test, depth_list)
+
+
+
+
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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From 479f6eb6880f37266f7e9965196114907e870f23 Mon Sep 17 00:00:00 2001
From: tracedence <shoaibrashid887@gmail.com>
Date: Mon, 28 Jan 2019 12:23:51 +0000
Subject: [PATCH 6/6] Done

---
 .../__pycache__/build.cpython-36.pyc          | Bin 1319 -> 1347 bytes
 q02_decision_regressor_plot/build.py          |   4 ++++
 2 files changed, 4 insertions(+)

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DIFTp_

delta 157
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diff --git a/q02_decision_regressor_plot/build.py b/q02_decision_regressor_plot/build.py
index 087df07..83f1d4f 100644
--- a/q02_decision_regressor_plot/build.py
+++ b/q02_decision_regressor_plot/build.py
@@ -3,6 +3,7 @@
 from sklearn.model_selection import train_test_split
 from sklearn.tree import DecisionTreeRegressor
 from sklearn.metrics import mean_squared_error
+
 import pandas as pd
 import matplotlib.pyplot as plt
 import numpy as np
@@ -35,5 +36,8 @@ def decision_regressor_plot(X_train, X_test, y_train, y_test, depth_list):
     plt.legend()
     plt.show()
 
+decision_regressor_plot(X_train, X_test, y_train, y_test, depth_list)
+
+