From 84df193888d1241dc6eeae724acfbbb69a5e0f82 Mon Sep 17 00:00:00 2001
From: soham009 <sohamthaker17@gmail.com>
Date: Thu, 27 Dec 2018 14:11:33 +0000
Subject: [PATCH 1/5] Done

---
 __pycache__/__init__.cpython-36.pyc             | Bin 0 -> 152 bytes
 .../__pycache__/__init__.cpython-36.pyc         | Bin 0 -> 170 bytes
 .../__pycache__/build.cpython-36.pyc            | Bin 0 -> 785 bytes
 q01_missing_value/build.py                      |  16 ++++++++++++++++
 .../tests/__pycache__/__init__.cpython-36.pyc   | Bin 0 -> 176 bytes
 .../test_q01_imputation.cpython-36.pyc          | Bin 0 -> 2325 bytes
 6 files changed, 16 insertions(+)
 create mode 100644 __pycache__/__init__.cpython-36.pyc
 create mode 100644 q01_missing_value/__pycache__/__init__.cpython-36.pyc
 create mode 100644 q01_missing_value/__pycache__/build.cpython-36.pyc
 create mode 100644 q01_missing_value/tests/__pycache__/__init__.cpython-36.pyc
 create mode 100644 q01_missing_value/tests/__pycache__/test_q01_imputation.cpython-36.pyc

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diff --git a/q01_missing_value/__pycache__/__init__.cpython-36.pyc b/q01_missing_value/__pycache__/__init__.cpython-36.pyc
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diff --git a/q01_missing_value/__pycache__/build.cpython-36.pyc b/q01_missing_value/__pycache__/build.cpython-36.pyc
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diff --git a/q01_missing_value/build.py b/q01_missing_value/build.py
index 7dc4d18..3e98651 100644
--- a/q01_missing_value/build.py
+++ b/q01_missing_value/build.py
@@ -1,6 +1,9 @@
+# %load q01_missing_value/build.py
 # Default imports
 import pandas as pd
 
+from sklearn.preprocessing import Imputer
+
 # Data loading
 ny_housing = pd.read_csv('data/train.csv')
 # Selecting 4 most relevant variables along with target variable from the dataset fot the Cleaning and Preprocessing.
@@ -8,3 +11,16 @@
 
 
 # Write your code here:
+def imputation(housing_data):
+    df = housing_data
+    imp = Imputer(missing_values=float('NaN'),strategy='mean', axis=0)
+    df['MasVnrArea'] = imp.fit_transform(df[['MasVnrArea']])
+    df['GrLivArea'] = imp.fit_transform(df[['GrLivArea']])
+    df['SalePrice'] = imp.fit_transform(df[['SalePrice']])
+    df['LotShape'] = df['LotShape'].fillna(df['LotShape'].mode()[0])
+    df['GarageType'] = df['GarageType'].fillna(df['GarageType'].mode()[0])
+    return df[['MasVnrArea', 'GrLivArea', 'SalePrice']],df[['LotShape', 'GarageType']]
+#imputation(housing_data)
+
+
+
diff --git a/q01_missing_value/tests/__pycache__/__init__.cpython-36.pyc b/q01_missing_value/tests/__pycache__/__init__.cpython-36.pyc
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From 075bf1932cf73760239640a2b27c155539f04f73 Mon Sep 17 00:00:00 2001
From: soham009 <sohamthaker17@gmail.com>
Date: Fri, 28 Dec 2018 06:57:53 +0000
Subject: [PATCH 2/5] Done

---
 .../__pycache__/__init__.cpython-36.pyc          | Bin 0 -> 172 bytes
 .../__pycache__/build.cpython-36.pyc             | Bin 0 -> 583 bytes
 q02_outlier_removal/build.py                     |  14 +++++++++++++-
 .../tests/__pycache__/__init__.cpython-36.pyc    | Bin 0 -> 178 bytes
 .../test_q02_outlier_removal.cpython-36.pyc      | Bin 0 -> 1788 bytes
 5 files changed, 13 insertions(+), 1 deletion(-)
 create mode 100644 q02_outlier_removal/__pycache__/__init__.cpython-36.pyc
 create mode 100644 q02_outlier_removal/__pycache__/build.cpython-36.pyc
 create mode 100644 q02_outlier_removal/tests/__pycache__/__init__.cpython-36.pyc
 create mode 100644 q02_outlier_removal/tests/__pycache__/test_q02_outlier_removal.cpython-36.pyc

diff --git a/q02_outlier_removal/__pycache__/__init__.cpython-36.pyc b/q02_outlier_removal/__pycache__/__init__.cpython-36.pyc
new file mode 100644
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diff --git a/q02_outlier_removal/__pycache__/build.cpython-36.pyc b/q02_outlier_removal/__pycache__/build.cpython-36.pyc
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diff --git a/q02_outlier_removal/build.py b/q02_outlier_removal/build.py
index 74df5f2..8e2507a 100644
--- a/q02_outlier_removal/build.py
+++ b/q02_outlier_removal/build.py
@@ -1,3 +1,4 @@
+# %load q02_outlier_removal/build.py
 # Default imports
 import pandas as pd
 
@@ -6,5 +7,16 @@
 # Selecting 4 most relevant variables from the dataset fot the Cleaning and Preprocessing.
 housing_data = ny_housing[['MasVnrArea', 'GrLivArea', 'LotShape', 'GarageType', 'SalePrice']]
 
-
 # Write your code here:
+def outlier_removal(housing_data):
+    df = housing_data
+    df = df.drop(df[(df['MasVnrArea']>df['MasVnrArea'].quantile(0.95)) | (df['GrLivArea']>df['GrLivArea'].quantile(0.95)) | (df['SalePrice']>df['SalePrice'].quantile(0.95))].index)
+    
+    #print (df)
+    
+    return df
+
+outlier_removal(housing_data)
+
+
+
diff --git a/q02_outlier_removal/tests/__pycache__/__init__.cpython-36.pyc b/q02_outlier_removal/tests/__pycache__/__init__.cpython-36.pyc
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From 76aa27c72ab84c2eaa1919bed3b99040322ba919 Mon Sep 17 00:00:00 2001
From: soham009 <sohamthaker17@gmail.com>
Date: Fri, 28 Dec 2018 09:00:27 +0000
Subject: [PATCH 3/5] Done

---
 .../__pycache__/__init__.cpython-36.pyc       | Bin 0 -> 169 bytes
 .../__pycache__/build.cpython-36.pyc          | Bin 0 -> 553 bytes
 q03_skewness_log/build.py                     |  20 +++++++++++++++++-
 .../tests/__pycache__/__init__.cpython-36.pyc | Bin 0 -> 175 bytes
 .../test_q03_skewness_log.cpython-36.pyc      | Bin 0 -> 2200 bytes
 5 files changed, 19 insertions(+), 1 deletion(-)
 create mode 100644 q03_skewness_log/__pycache__/__init__.cpython-36.pyc
 create mode 100644 q03_skewness_log/__pycache__/build.cpython-36.pyc
 create mode 100644 q03_skewness_log/tests/__pycache__/__init__.cpython-36.pyc
 create mode 100644 q03_skewness_log/tests/__pycache__/test_q03_skewness_log.cpython-36.pyc

diff --git a/q03_skewness_log/__pycache__/__init__.cpython-36.pyc b/q03_skewness_log/__pycache__/__init__.cpython-36.pyc
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diff --git a/q03_skewness_log/__pycache__/build.cpython-36.pyc b/q03_skewness_log/__pycache__/build.cpython-36.pyc
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diff --git a/q03_skewness_log/build.py b/q03_skewness_log/build.py
index f008d0f..1d0932b 100644
--- a/q03_skewness_log/build.py
+++ b/q03_skewness_log/build.py
@@ -1,8 +1,26 @@
+# %load q03_skewness_log/build.py
 from scipy.stats import skew
 import pandas as pd
 import numpy as np
 
 data = pd.read_csv('data/train.csv')
 
-
 # Write code here:
+
+def skewness_log(data):
+    target1 = np.log(data['SalePrice'])
+    sk_val1 = skew(target1)
+ 
+    target2 = np.log(data['GrLivArea'])
+    sk_val2 = skew(target2)
+    
+    print (sk_val1,sk_val2)
+    
+    return sk_val2,sk_val1
+
+skewness_log(data)
+
+
+
+
+
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From 738e030d2cc29d1273f71f4fd75cbddf9f2d5dbb Mon Sep 17 00:00:00 2001
From: soham009 <sohamthaker17@gmail.com>
Date: Fri, 28 Dec 2018 09:03:28 +0000
Subject: [PATCH 4/5] Done

---
 .../__pycache__/__init__.cpython-36.pyc        | Bin 0 -> 165 bytes
 q04_encoding/__pycache__/build.cpython-36.pyc  | Bin 0 -> 606 bytes
 q04_encoding/build.py                          |  17 ++++++++++++++++-
 .../tests/__pycache__/__init__.cpython-36.pyc  | Bin 0 -> 171 bytes
 .../test_q04_encoding.cpython-36.pyc           | Bin 0 -> 1729 bytes
 5 files changed, 16 insertions(+), 1 deletion(-)
 create mode 100644 q04_encoding/__pycache__/__init__.cpython-36.pyc
 create mode 100644 q04_encoding/__pycache__/build.cpython-36.pyc
 create mode 100644 q04_encoding/tests/__pycache__/__init__.cpython-36.pyc
 create mode 100644 q04_encoding/tests/__pycache__/test_q04_encoding.cpython-36.pyc

diff --git a/q04_encoding/__pycache__/__init__.cpython-36.pyc b/q04_encoding/__pycache__/__init__.cpython-36.pyc
new file mode 100644
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diff --git a/q04_encoding/build.py b/q04_encoding/build.py
index a52c57f..16ac59e 100644
--- a/q04_encoding/build.py
+++ b/q04_encoding/build.py
@@ -1,3 +1,4 @@
+# %load q04_encoding/build.py
 # Default imports
 import pandas as pd
 from sklearn.preprocessing import LabelEncoder
@@ -5,6 +6,20 @@
 ny_housing = pd.read_csv('data/train.csv')
 housing_data = ny_housing[['MasVnrArea', 'GrLivArea', 'LotShape', 'GarageType', 'SalePrice']]
 
-
 # Write your code here:
 
+def encoding(housing_data):
+    lablel_encoder = LabelEncoder()
+    housing_data['LotShape'] = lablel_encoder.fit_transform(housing_data['LotShape'])
+    
+    housing_data = pd.get_dummies(housing_data,dummy_na=True)
+    
+    #print (housing_data)
+
+    return housing_data
+
+encoding(housing_data)
+
+
+
+
diff --git a/q04_encoding/tests/__pycache__/__init__.cpython-36.pyc b/q04_encoding/tests/__pycache__/__init__.cpython-36.pyc
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From 25eeabb24d5b81b347085fdd13d365f902cde9fa Mon Sep 17 00:00:00 2001
From: soham009 <sohamthaker17@gmail.com>
Date: Fri, 28 Dec 2018 09:04:45 +0000
Subject: [PATCH 5/5] Done

---
 .../__pycache__/__init__.cpython-36.pyc        | Bin 0 -> 170 bytes
 .../__pycache__/build.cpython-36.pyc           | Bin 0 -> 575 bytes
 q03_skewness_sqrt/build.py                     |  17 ++++++++++++++++-
 .../tests/__pycache__/__init__.cpython-36.pyc  | Bin 0 -> 176 bytes
 .../test-q03_skewness_sqrt.cpython-36.pyc      | Bin 0 -> 2071 bytes
 5 files changed, 16 insertions(+), 1 deletion(-)
 create mode 100644 q03_skewness_sqrt/__pycache__/__init__.cpython-36.pyc
 create mode 100644 q03_skewness_sqrt/__pycache__/build.cpython-36.pyc
 create mode 100644 q03_skewness_sqrt/tests/__pycache__/__init__.cpython-36.pyc
 create mode 100644 q03_skewness_sqrt/tests/__pycache__/test-q03_skewness_sqrt.cpython-36.pyc

diff --git a/q03_skewness_sqrt/__pycache__/__init__.cpython-36.pyc b/q03_skewness_sqrt/__pycache__/__init__.cpython-36.pyc
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diff --git a/q03_skewness_sqrt/build.py b/q03_skewness_sqrt/build.py
index 4bdb0e4..edee4cf 100644
--- a/q03_skewness_sqrt/build.py
+++ b/q03_skewness_sqrt/build.py
@@ -1,10 +1,25 @@
+# %load q03_skewness_sqrt/build.py
 # Default imports
 from scipy.stats import skew
 import pandas as pd
 import numpy as np
+from math import sqrt
 
 ny_housing = pd.read_csv('data/train.csv')
 
-
 # Write your Solution Here:
+def skewness_sqrt(ny_housing):
+        
+    target1 = np.sqrt(ny_housing['SalePrice'])
+    sk_val1 = skew(target1)
+ 
+    target2 = np.sqrt(ny_housing['GrLivArea'])
+    sk_val2 = skew(target2)
+    
+    #print (sk_val2,sk_val1)
+    
+    return sk_val2,sk_val1
+
+skewness_sqrt(ny_housing)
+
 
diff --git a/q03_skewness_sqrt/tests/__pycache__/__init__.cpython-36.pyc b/q03_skewness_sqrt/tests/__pycache__/__init__.cpython-36.pyc
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