From 790544565234022d01b8b39f114df376bc898c9e Mon Sep 17 00:00:00 2001
From: ramyakrishnan86 <ramya_krishnan86@yahoo.co.in>
Date: Tue, 16 Oct 2018 18:10:07 +0000
Subject: [PATCH 1/4] Done

---
 __pycache__/__init__.cpython-36.pyc           | Bin 159 -> 159 bytes
 .../__pycache__/__init__.cpython-36.pyc       | Bin 170 -> 179 bytes
 .../__pycache__/build.cpython-36.pyc          | Bin 655 -> 568 bytes
 q01_outlier_removal/build.py                  |  12 ++++++++++++
 .../tests/__pycache__/__init__.cpython-36.pyc | Bin 185 -> 185 bytes
 .../test_q01_outlier_removal.cpython-36.pyc   | Bin 1835 -> 1839 bytes
 6 files changed, 12 insertions(+)

diff --git a/__pycache__/__init__.cpython-36.pyc b/__pycache__/__init__.cpython-36.pyc
index 2e5da7da778c48a9c58d7d055bbdb642fcb66418..7f94ce1399c668e184df67322066dbb2a5b70358 100644
GIT binary patch
delta 55
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delta 55
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diff --git a/q01_outlier_removal/__pycache__/__init__.cpython-36.pyc b/q01_outlier_removal/__pycache__/__init__.cpython-36.pyc
index 2f9a42a105b2b26ec10c60ac4d11fa03f7624d22..682b4cdc84a83f70986663e7a87a33ab7663b0e5 100644
GIT binary patch
delta 57
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delta 48
zcmdnYxQda(n3tF9Mtoz`L=JPAaQ%$@+*JL<oYV?^m(=3ylKcYwfTH}Y)Z~)li7Ea7
DbIK5l

diff --git a/q01_outlier_removal/__pycache__/build.cpython-36.pyc b/q01_outlier_removal/__pycache__/build.cpython-36.pyc
index 8248a1626e901c868c177407620fc7ec379db180..c198224d799e542fe7a0ab6a4cd442837d88026e 100644
GIT binary patch
delta 329
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delta 394
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bYNbu>$u?T!%yP-=OdMF~ssV~)c`#(Zq77Sf

diff --git a/q01_outlier_removal/build.py b/q01_outlier_removal/build.py
index ec278ba..5ea8165 100644
--- a/q01_outlier_removal/build.py
+++ b/q01_outlier_removal/build.py
@@ -1,3 +1,4 @@
+# %load q01_outlier_removal/build.py
 # Default imports
 import pandas as pd
 
@@ -6,3 +7,14 @@
 
 
 # Write your Solution here:
+def outlier_removal(df):
+    df = df.drop(df[(df['ApplicantIncome']>df['ApplicantIncome'].quantile(0.95)) | 
+                    (df['CoapplicantIncome']>df['CoapplicantIncome'].quantile(0.95)) | 
+                    (df['LoanAmount']>df['LoanAmount'].quantile(0.95))].index)
+    
+    return df
+   
+# outlier_removal(loan_data)
+# loan_data.head()
+
+
diff --git a/q01_outlier_removal/tests/__pycache__/__init__.cpython-36.pyc b/q01_outlier_removal/tests/__pycache__/__init__.cpython-36.pyc
index 5a057ffb73694628cef3ed87e03ee3a17f7410bc..2c7fe5d9e7c32991411c72c088018bdfd7772b79 100644
GIT binary patch
delta 55
zcmdnVxRa5?n3tEUO!HXuL=H>kjQreG{i4L&%EauV%;Jo^#5@Z#{qX#v?BasN<W&9S
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delta 55
zcmdnVxRa5?n3tDpxuj9lL=H>k(BjmhV*SLVjLhPU)a>HYq@u*!#JtSJJpH`X^7ypO
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diff --git a/q01_outlier_removal/tests/__pycache__/test_q01_outlier_removal.cpython-36.pyc b/q01_outlier_removal/tests/__pycache__/test_q01_outlier_removal.cpython-36.pyc
index 4c0b6c7431c6a14108ba9d55dd44059612f144a5..fdf2a8efba79d3a487969708d0ab9fd6b433aab8 100644
GIT binary patch
delta 71
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bvoO;S&o9a@E=WvH)lbe(N!_f##LWr-eYzOR

delta 67
zcmZ3_x0;XBn3tE!Sjs4B??ld3EL`cSB^!6UF)D`^rxq3KCnjZN7H6bp7ndd#CFUmP
XWhUn7=cSg%r)B1(7H?Kz;${T^<4YF0


From b41442855871576122516b32107068f126ee0d3a Mon Sep 17 00:00:00 2001
From: ramyakrishnan86 <ramya_krishnan86@yahoo.co.in>
Date: Tue, 16 Oct 2018 19:00:51 +0000
Subject: [PATCH 2/4] Done

---
 .../__pycache__/__init__.cpython-36.pyc       | Bin 0 -> 181 bytes
 .../__pycache__/build.cpython-36.pyc          | Bin 0 -> 1359 bytes
 q02_data_cleaning_all/build.py                |  26 +++++++++++++++++-
 .../tests/__pycache__/__init__.cpython-36.pyc | Bin 0 -> 187 bytes
 .../test_q02_data_cleaning.cpython-36.pyc     | Bin 0 -> 3409 bytes
 5 files changed, 25 insertions(+), 1 deletion(-)
 create mode 100644 q02_data_cleaning_all/__pycache__/__init__.cpython-36.pyc
 create mode 100644 q02_data_cleaning_all/__pycache__/build.cpython-36.pyc
 create mode 100644 q02_data_cleaning_all/tests/__pycache__/__init__.cpython-36.pyc
 create mode 100644 q02_data_cleaning_all/tests/__pycache__/test_q02_data_cleaning.cpython-36.pyc

diff --git a/q02_data_cleaning_all/__pycache__/__init__.cpython-36.pyc b/q02_data_cleaning_all/__pycache__/__init__.cpython-36.pyc
new file mode 100644
index 0000000000000000000000000000000000000000..43306728db48313f6f52974fdf25e67224184684
GIT binary patch
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diff --git a/q02_data_cleaning_all/__pycache__/build.cpython-36.pyc b/q02_data_cleaning_all/__pycache__/build.cpython-36.pyc
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GIT binary patch
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diff --git a/q02_data_cleaning_all/build.py b/q02_data_cleaning_all/build.py
index b56e2bc..1f0a8e7 100644
--- a/q02_data_cleaning_all/build.py
+++ b/q02_data_cleaning_all/build.py
@@ -1,9 +1,11 @@
+# %load q02_data_cleaning_all/build.py
 # Default Imports
 import sys, os
 sys.path.append(os.path.dirname(os.path.dirname(os.path.dirname('__file__'))))
 import pandas as pd
 import numpy as np
-from sklearn.model_selection import train_test_split
+from sklearn.model_selection import train_test_split as tts
+from sklearn.preprocessing import Imputer
 from greyatomlib.logistic_regression_project.q01_outlier_removal.build import outlier_removal
 
 loan_data = pd.read_csv('data/loan_prediction_uncleaned.csv')
@@ -12,3 +14,25 @@
 
 
 # Write your solution here :
+def data_cleaning(df):
+    
+    imp_mean = Imputer(missing_values = float('NaN'), strategy='mean')
+    df['LoanAmount'] = imp_mean.fit_transform(df[['LoanAmount']]).ravel()
+         
+    df['Gender']  = df['Gender'].fillna(df['Gender'].mode()[0])
+    df['Married'] = df['Married'].fillna(df['Married'].mode()[0])
+    df['Dependents'] = df['Dependents'].fillna(df['Dependents'].mode()[0])
+    df['Self_Employed'] = df['Self_Employed'].fillna(df['Self_Employed'].mode()[0])
+    df['Loan_Amount_Term'] = df['Loan_Amount_Term'].fillna(df['Loan_Amount_Term'].mode()[0])
+    df['Credit_History'] = df['Credit_History'].fillna(df['Credit_History'].mode()[0])
+        
+    X=df.drop(['LoanAmount'],axis=1)
+    y=df['LoanAmount']
+  
+    X_train, X_test, y_train, y_test = tts(X, y, test_size = 0.25, random_state = 9)
+    
+    return (X,y,X_train, X_test, y_train, y_test)
+
+# data_cleaning(loan_data)
+
+
diff --git a/q02_data_cleaning_all/tests/__pycache__/__init__.cpython-36.pyc b/q02_data_cleaning_all/tests/__pycache__/__init__.cpython-36.pyc
new file mode 100644
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From 6a7b94f1382102ac9a0c39b154bce8e3d37d0e71 Mon Sep 17 00:00:00 2001
From: ramyakrishnan86 <ramya_krishnan86@yahoo.co.in>
Date: Tue, 16 Oct 2018 19:36:50 +0000
Subject: [PATCH 3/4] Done

---
 .../__pycache__/__init__.cpython-36.pyc         | Bin 0 -> 183 bytes
 .../__pycache__/build.cpython-36.pyc            | Bin 0 -> 1053 bytes
 q02_data_cleaning_all_2/build.py                |  16 ++++++++++++++++
 .../tests/__pycache__/__init__.cpython-36.pyc   | Bin 0 -> 189 bytes
 .../q02_test_data_cleaning_2.cpython-36.pyc     | Bin 0 -> 4764 bytes
 5 files changed, 16 insertions(+)
 create mode 100644 q02_data_cleaning_all_2/__pycache__/__init__.cpython-36.pyc
 create mode 100644 q02_data_cleaning_all_2/__pycache__/build.cpython-36.pyc
 create mode 100644 q02_data_cleaning_all_2/tests/__pycache__/__init__.cpython-36.pyc
 create mode 100644 q02_data_cleaning_all_2/tests/__pycache__/q02_test_data_cleaning_2.cpython-36.pyc

diff --git a/q02_data_cleaning_all_2/__pycache__/__init__.cpython-36.pyc b/q02_data_cleaning_all_2/__pycache__/__init__.cpython-36.pyc
new file mode 100644
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GIT binary patch
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diff --git a/q02_data_cleaning_all_2/__pycache__/build.cpython-36.pyc b/q02_data_cleaning_all_2/__pycache__/build.cpython-36.pyc
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diff --git a/q02_data_cleaning_all_2/build.py b/q02_data_cleaning_all_2/build.py
index e20ff7b..b5a511f 100644
--- a/q02_data_cleaning_all_2/build.py
+++ b/q02_data_cleaning_all_2/build.py
@@ -1,3 +1,4 @@
+# %load q02_data_cleaning_all_2/build.py
 # Default Imports
 import pandas as pd
 import numpy as np
@@ -11,3 +12,18 @@
 
 
 # Write your solution here :
+def data_cleaning_2(X_train, X_test, y_train, y_test):
+    
+    CCL=['Gender', 'Married', 'Dependents', 'Education', 'Self_Employed', 'Property_Area']
+    X_train=pd.get_dummies(X_train,columns=CCL, drop_first=True)
+    X_test=pd.get_dummies(X_test,columns=CCL, drop_first=True)
+    
+    numeric_column=['ApplicantIncome', 'CoapplicantIncome', 'LoanAmount']
+    for c in numeric_column:
+        X_train[c] = np.sqrt(X_train[c])
+        X_test[c] = np.sqrt(X_test[c])
+    return X_train, X_test, y_train, y_test
+
+# data_cleaning_2(X_train, X_test, y_train, y_test)
+
+
diff --git a/q02_data_cleaning_all_2/tests/__pycache__/__init__.cpython-36.pyc b/q02_data_cleaning_all_2/tests/__pycache__/__init__.cpython-36.pyc
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From c3667663877a86389a7f6d659dcb24def576855a Mon Sep 17 00:00:00 2001
From: ramyakrishnan86 <ramya_krishnan86@yahoo.co.in>
Date: Tue, 16 Oct 2018 19:42:24 +0000
Subject: [PATCH 4/4] Done

---
 .../__pycache__/__init__.cpython-36.pyc         | Bin 0 -> 183 bytes
 .../__pycache__/build.cpython-36.pyc            | Bin 0 -> 1213 bytes
 q03_logistic_regression/build.py                |  16 ++++++++++++++++
 .../tests/__pycache__/__init__.cpython-36.pyc   | Bin 0 -> 189 bytes
 .../test_q03_logistic_regression.cpython-36.pyc | Bin 0 -> 2303 bytes
 5 files changed, 16 insertions(+)
 create mode 100644 q03_logistic_regression/__pycache__/__init__.cpython-36.pyc
 create mode 100644 q03_logistic_regression/__pycache__/build.cpython-36.pyc
 create mode 100644 q03_logistic_regression/tests/__pycache__/__init__.cpython-36.pyc
 create mode 100644 q03_logistic_regression/tests/__pycache__/test_q03_logistic_regression.cpython-36.pyc

diff --git a/q03_logistic_regression/__pycache__/__init__.cpython-36.pyc b/q03_logistic_regression/__pycache__/__init__.cpython-36.pyc
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diff --git a/q03_logistic_regression/build.py b/q03_logistic_regression/build.py
index cdbd506..3c40150 100644
--- a/q03_logistic_regression/build.py
+++ b/q03_logistic_regression/build.py
@@ -1,3 +1,4 @@
+# %load q03_logistic_regression/build.py
 # Default Imports
 import pandas as pd
 from sklearn.preprocessing import StandardScaler
@@ -16,3 +17,18 @@
 
 # Write your solution code here:
 
+def logistic_regression(X_train,X_test,y_train,y_test):
+    
+    scale = StandardScaler()
+    scale.fit(X_train[['ApplicantIncome','CoapplicantIncome','LoanAmount']])
+    
+    log_reg = LogisticRegression()
+    log_reg.fit(X_train,y_train)
+    
+    y_pred = log_reg.predict(X_test)
+    conf_matrix = confusion_matrix(y_test,y_pred)
+       
+    return conf_matrix
+# logistic_regression(X_train,X_test,y_train,y_test)
+
+
diff --git a/q03_logistic_regression/tests/__pycache__/__init__.cpython-36.pyc b/q03_logistic_regression/tests/__pycache__/__init__.cpython-36.pyc
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