From 450adae9e355d5d463bc2e31aca583d42a59826a Mon Sep 17 00:00:00 2001
From: akashhchatterjee <akashh.chatterjee@gmail.com>
Date: Sun, 9 Dec 2018 07:00:33 +0000
Subject: [PATCH 1/5] Done

---
 __pycache__/__init__.cpython-36.pyc              | Bin 0 -> 160 bytes
 .../__pycache__/__init__.cpython-36.pyc          | Bin 0 -> 178 bytes
 .../__pycache__/build.cpython-36.pyc             | Bin 0 -> 707 bytes
 q01_missing_value/build.py                       |  14 ++++++++++++--
 .../tests/__pycache__/__init__.cpython-36.pyc    | Bin 0 -> 184 bytes
 .../test_q01_imputation.cpython-36.pyc           | Bin 0 -> 2333 bytes
 6 files changed, 12 insertions(+), 2 deletions(-)
 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/build.py b/q01_missing_value/build.py
index 7dc4d18..57d5a12 100644
--- a/q01_missing_value/build.py
+++ b/q01_missing_value/build.py
@@ -1,10 +1,20 @@
+# %load q01_missing_value/build.py
 # Default imports
 import pandas as pd
-
+import numpy as np
 # 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.
 housing_data = ny_housing[['MasVnrArea', 'GrLivArea', 'LotShape', 'GarageType', 'SalePrice']]
 
-
 # Write your code here:
+def imputation(housing_data):
+    missing = housing_data.isnull().sum(axis=0).sort_values(ascending=False)
+    housing_data['MasVnrArea'].replace(0, np.nan, inplace= True)
+    housing_data['GarageType'] = housing_data['GarageType'].fillna('Attchd')
+    housing_data['MasVnrArea'] = housing_data['MasVnrArea'].fillna(housing_data['MasVnrArea'].mean())
+    return housing_data[['MasVnrArea']], housing_data[['GarageType']]
+
+imputation(housing_data)
+
+
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From 227926bbfa1233acb4f97ebc454c65adcdae1b5e Mon Sep 17 00:00:00 2001
From: akashhchatterjee <akashh.chatterjee@gmail.com>
Date: Mon, 10 Dec 2018 10:09:12 +0000
Subject: [PATCH 2/5] Done

---
 .../__pycache__/__init__.cpython-36.pyc          | Bin 0 -> 180 bytes
 .../__pycache__/build.cpython-36.pyc             | Bin 0 -> 658 bytes
 q02_outlier_removal/build.py                     |  14 +++++++++++++-
 .../tests/__pycache__/__init__.cpython-36.pyc    | Bin 0 -> 186 bytes
 .../test_q02_outlier_removal.cpython-36.pyc      | Bin 0 -> 1796 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
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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..ee933e0 100644
--- a/q02_outlier_removal/build.py
+++ b/q02_outlier_removal/build.py
@@ -1,10 +1,22 @@
+# %load q02_outlier_removal/build.py
 # Default imports
 import pandas as pd
 
 # Data
 ny_housing = pd.read_csv('data/train.csv')
+ny_housing
 # Selecting 4 most relevant variables from the dataset fot the Cleaning and Preprocessing.
 housing_data = ny_housing[['MasVnrArea', 'GrLivArea', 'LotShape', 'GarageType', 'SalePrice']]
-
+housing_data
 
 # Write your code here:
+def outlier_removal(housing_data):
+    x = housing_data.quantile(q=0.95)
+    housing_data.drop(housing_data[housing_data.MasVnrArea > x[0]].index,inplace = True)
+    housing_data.drop(housing_data[housing_data.GrLivArea > x[1]].index,inplace = True)
+    housing_data.drop(housing_data[housing_data.SalePrice > x[2]].index,inplace = True)
+    return housing_data
+    
+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 8fc9d610f9597884a71bafa1102a161d5c7300fa Mon Sep 17 00:00:00 2001
From: akashhchatterjee <akashh.chatterjee@gmail.com>
Date: Mon, 10 Dec 2018 10:30:22 +0000
Subject: [PATCH 3/5] Done

---
 .../__pycache__/__init__.cpython-36.pyc          | Bin 0 -> 177 bytes
 .../__pycache__/build.cpython-36.pyc             | Bin 0 -> 549 bytes
 q03_skewness_log/build.py                        |  10 ++++++++++
 .../tests/__pycache__/__init__.cpython-36.pyc    | Bin 0 -> 183 bytes
 .../test_q03_skewness_log.cpython-36.pyc         | Bin 0 -> 2208 bytes
 5 files changed, 10 insertions(+)
 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..d390b4a 100644
--- a/q03_skewness_log/build.py
+++ b/q03_skewness_log/build.py
@@ -1,3 +1,4 @@
+# %load q03_skewness_log/build.py
 from scipy.stats import skew
 import pandas as pd
 import numpy as np
@@ -6,3 +7,12 @@
 
 
 # Write code here:
+def skewness_log(data):
+    data['GrLivArea'] = np.log(data['GrLivArea'])
+    data['SalePrice'] = np.log(data['SalePrice'])
+    skewed_grLiv = skew(data['GrLivArea'])
+    skewed_Sale = skew(data['SalePrice'])
+    return skewed_grLiv, skewed_Sale
+
+skewness_log(data)
+
diff --git a/q03_skewness_log/tests/__pycache__/__init__.cpython-36.pyc b/q03_skewness_log/tests/__pycache__/__init__.cpython-36.pyc
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From b3c09478e41776eddca2606e323c0fb28b1c0ea0 Mon Sep 17 00:00:00 2001
From: akashhchatterjee <akashh.chatterjee@gmail.com>
Date: Mon, 10 Dec 2018 11:02:08 +0000
Subject: [PATCH 4/5] Done

---
 .../__pycache__/__init__.cpython-36.pyc          | Bin 0 -> 178 bytes
 .../__pycache__/build.cpython-36.pyc             | Bin 0 -> 558 bytes
 q03_skewness_sqrt/build.py                       |  10 ++++++++++
 .../tests/__pycache__/__init__.cpython-36.pyc    | Bin 0 -> 184 bytes
 .../test-q03_skewness_sqrt.cpython-36.pyc        | Bin 0 -> 2079 bytes
 5 files changed, 10 insertions(+)
 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
new file mode 100644
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diff --git a/q03_skewness_sqrt/__pycache__/build.cpython-36.pyc b/q03_skewness_sqrt/__pycache__/build.cpython-36.pyc
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diff --git a/q03_skewness_sqrt/build.py b/q03_skewness_sqrt/build.py
index 4bdb0e4..92c0130 100644
--- a/q03_skewness_sqrt/build.py
+++ b/q03_skewness_sqrt/build.py
@@ -1,3 +1,4 @@
+# %load q03_skewness_sqrt/build.py
 # Default imports
 from scipy.stats import skew
 import pandas as pd
@@ -7,4 +8,13 @@
 
 
 # Write your Solution Here:
+def skewness_sqrt(ny_housing):
+    ny_housing['GrLivArea'] = np.sqrt(ny_housing['GrLivArea'])
+    ny_housing['SalePrice'] = np.sqrt(ny_housing['SalePrice'])
+    skewed_grLiv = skew(ny_housing['GrLivArea'])
+    skewed_Sale = skew(ny_housing['SalePrice'])
+    return skewed_grLiv, skewed_Sale
+
+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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From f15011183c7c25eb71ddffc707f47bb5642986e2 Mon Sep 17 00:00:00 2001
From: akashhchatterjee <akashh.chatterjee@gmail.com>
Date: Mon, 10 Dec 2018 11:53:24 +0000
Subject: [PATCH 5/5] Done

---
 q04_encoding/__pycache__/__init__.cpython-36.pyc | Bin 0 -> 173 bytes
 q04_encoding/__pycache__/build.cpython-36.pyc    | Bin 0 -> 643 bytes
 q04_encoding/build.py                            |  10 +++++++++-
 .../tests/__pycache__/__init__.cpython-36.pyc    | Bin 0 -> 179 bytes
 .../__pycache__/test_q04_encoding.cpython-36.pyc | Bin 0 -> 1737 bytes
 5 files changed, 9 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
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diff --git a/q04_encoding/build.py b/q04_encoding/build.py
index a52c57f..db82607 100644
--- a/q04_encoding/build.py
+++ b/q04_encoding/build.py
@@ -1,10 +1,18 @@
+# %load q04_encoding/build.py
 # Default imports
 import pandas as pd
 from sklearn.preprocessing import LabelEncoder
 
 ny_housing = pd.read_csv('data/train.csv')
 housing_data = ny_housing[['MasVnrArea', 'GrLivArea', 'LotShape', 'GarageType', 'SalePrice']]
-
+from sklearn.preprocessing import LabelEncoder
 
 # Write your code here:
+def encoding(housing_data):
+    lablel_encoder = LabelEncoder()
+    housing_data['LotShape_Label'] = lablel_encoder.fit_transform(housing_data['LotShape'])
+    return pd.get_dummies(housing_data, columns = ['GarageType'])
+
+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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