From aa067888f361fda5b571fce030acd615bf2aac52 Mon Sep 17 00:00:00 2001
From: soham009 <sohamthaker17@gmail.com>
Date: Mon, 31 Dec 2018 23:06:05 +0000
Subject: [PATCH 1/4] Done

---
 __pycache__/__init__.cpython-36.pyc           | Bin 159 -> 152 bytes
 .../__pycache__/__init__.cpython-36.pyc       | Bin 170 -> 172 bytes
 .../__pycache__/build.cpython-36.pyc          | Bin 655 -> 561 bytes
 q01_outlier_removal/build.py                  |  12 ++++++++++++
 .../tests/__pycache__/__init__.cpython-36.pyc | Bin 185 -> 178 bytes
 .../test_q01_outlier_removal.cpython-36.pyc   | Bin 1835 -> 1832 bytes
 6 files changed, 12 insertions(+)

diff --git a/__pycache__/__init__.cpython-36.pyc b/__pycache__/__init__.cpython-36.pyc
index 2e5da7da778c48a9c58d7d055bbdb642fcb66418..438a7bbc848271c2abb82237d3671872dda47e4f 100644
GIT binary patch
delta 50
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FtO0%M5Jmt1

delta 57
zcmbQiIG>Tjn3tDpxuj9lL=JORAN|nc)S_bj#H5VO;*8Yn;?ks|#N5QZ%)~tXywvje
Mw9K5;;)$`=0QYSZdH?_b

diff --git a/q01_outlier_removal/__pycache__/__init__.cpython-36.pyc b/q01_outlier_removal/__pycache__/__init__.cpython-36.pyc
index 2f9a42a105b2b26ec10c60ac4d11fa03f7624d22..5a3d28bbf6e3c3ebbd8c4b2c0619fdb91cf95eea 100644
GIT binary patch
delta 50
zcmZ3*xQ3C#n3tF9$O5gHi5%u~k@^|=xvBca`5B411_qY;;rT_`#RZAUsrt$JDX9~q
F{Q-t%5QG2#

delta 48
zcmZ3(xQda(n3tF9Mtoz`L=JPAaQ%$@+*JL<oYV?^m(=3ylKcYwfTH}Y)Z~)liLw3w
Da%>QN

diff --git a/q01_outlier_removal/__pycache__/build.cpython-36.pyc b/q01_outlier_removal/__pycache__/build.cpython-36.pyc
index 8248a1626e901c868c177407620fc7ec379db180..dd704474319239ad892dfa5bb2d5332009550af3 100644
GIT binary patch
delta 322
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zN_=v0*)7f-pc~>-5=#<`Sb*xliotdv5u8AYTO2mI`6;D2sdmgjUNI<yIGDH?c~}7L
CoJ{%v

delta 436
zcmZ9IF-rq66vy+D+<8}8?ON~y*u@(JClN$P2SF#75-*`%dri(Hl@2Ezy6GTAXLm=x
zi&H*?vpD&BP%QG2Km7B1|Cf*t{v4$Tolfhsc)R{urjK(@2#Ii?;&!hnHIXoc9vKly
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zwu9lHtL)ZHR3=I_%g&S=dsAf>){Io{T~?Z5;e3$~tQuP7Tw(Of6CB!f^-o<C0^O$C
zu-lZ~!LxoG;!0>KT%eT<iB&=la(Cav>=t%3ZO#1~vW*}lM-wBbr8=hQT#S;?7PR><
DNyKZG

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..4bcc5669e18717db38de3f0c5462f59b26b45cca 100644
GIT binary patch
delta 50
zcmdnVxQUU&n3tF9*aEGXi5%u~@%kD0xvBca`5B411_qY;;rT_`#RZAUsrt$JDX9}v
FLII1U5U>CM

delta 57
zcmdnQxRa5?n3tDpxuj9lL=JP+H2u)x)S_bj#H5VO;*8Yn;?ks|#N5QZ%)~tXywvje
Mw9K5;;)$`L00#yW;s5{u

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..c3dc8be5bb2e5c2791ed7c25205cd7f8638d2411 100644
GIT binary patch
delta 66
zcmZ3@w}Ow;n3tF9*aEGXlM^{taqy+5mZX*D<ZRsT!YG%opOK%Ns$ZO+k(g^>V5uLT
WUzA;3keHmRpPZkPx><pVn-u`{DHc%x

delta 69
zcmZ3%x0;XBn3tE!Sjs4B??ld3EL`cSB^!6UFshd6hZd(673(J^Wn>m-q-GbFCKV;-
ZCgx=(=IQ69mdB@M=A;&HmSy5*1po`=7f}EJ


From 7097d83adde4b6c694cdc8921a99f1a79077dfe4 Mon Sep 17 00:00:00 2001
From: soham009 <sohamthaker17@gmail.com>
Date: Mon, 31 Dec 2018 23:07:40 +0000
Subject: [PATCH 2/4] Done

---
 .../__pycache__/__init__.cpython-36.pyc       | Bin 0 -> 174 bytes
 .../__pycache__/build.cpython-36.pyc          | Bin 0 -> 1352 bytes
 q02_data_cleaning_all/build.py                |  26 +++++++++++++++++-
 .../tests/__pycache__/__init__.cpython-36.pyc | Bin 0 -> 180 bytes
 .../test_q02_data_cleaning.cpython-36.pyc     | Bin 0 -> 3402 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..6a3e32500d45e298b9dc19ec11c40775fab702fa
GIT binary patch
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literal 0
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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
new file mode 100644
index 0000000000000000000000000000000000000000..f4c999f4f0626025d94424ae282957524f45d795
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
index 0000000000000000000000000000000000000000..b192e7929ac7801021ed4f6cdd0e25c53fe39fce
GIT binary patch
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diff --git a/q02_data_cleaning_all/tests/__pycache__/test_q02_data_cleaning.cpython-36.pyc b/q02_data_cleaning_all/tests/__pycache__/test_q02_data_cleaning.cpython-36.pyc
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From 5173e5e57417fa3490fc8eda88de3b9bf8de1d47 Mon Sep 17 00:00:00 2001
From: soham009 <sohamthaker17@gmail.com>
Date: Mon, 31 Dec 2018 23:09:16 +0000
Subject: [PATCH 3/4] Done

---
 .../__pycache__/__init__.cpython-36.pyc        | Bin 0 -> 176 bytes
 .../__pycache__/build.cpython-36.pyc           | Bin 0 -> 1046 bytes
 q02_data_cleaning_all_2/build.py               |  17 +++++++++++++++++
 .../tests/__pycache__/__init__.cpython-36.pyc  | Bin 0 -> 182 bytes
 .../q02_test_data_cleaning_2.cpython-36.pyc    | Bin 0 -> 4757 bytes
 5 files changed, 17 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
index 0000000000000000000000000000000000000000..cd7452da1e90ed3e1d539c925bdfce1cb291c0b5
GIT binary patch
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literal 0
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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
new file mode 100644
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diff --git a/q02_data_cleaning_all_2/build.py b/q02_data_cleaning_all_2/build.py
index e20ff7b..e7a6258 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 +12,19 @@
 
 
 # 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 ee91cd1823d18cb61bf7337d1624d0fca8385434 Mon Sep 17 00:00:00 2001
From: soham009 <sohamthaker17@gmail.com>
Date: Mon, 31 Dec 2018 23:10:56 +0000
Subject: [PATCH 4/4] Done

---
 .../__pycache__/__init__.cpython-36.pyc         | Bin 0 -> 176 bytes
 .../__pycache__/build.cpython-36.pyc            | Bin 0 -> 1206 bytes
 q03_logistic_regression/build.py                |  16 ++++++++++++++++
 .../tests/__pycache__/__init__.cpython-36.pyc   | Bin 0 -> 182 bytes
 .../test_q03_logistic_regression.cpython-36.pyc | Bin 0 -> 2296 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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