Practical Machine Learning with AWS by Himanshu Singh

Author:Himanshu Singh
Language: eng
Format: epub
ISBN: 9781484262221
Publisher: Apress

print('Reading input data from {}'.format(input_data_path))

data = pd.read_csv(input_data_path)

data = pd.DataFrame(data=data, columns=columns)

for i in data.Item_Type.value_counts().index:

data.loc[(data['Item_Weight'].isna()) & (data['Item_Type'] == i), ['Item_Weight']] =
data.loc[data['Item_Type'] == 'Fruits and Vegetables', ['Item_Weight']].mean()[0]

cat_data = data.select_dtypes(object)

num_data = data.select_dtypes(np.number)

cat_data.loc[(cat_data['Outlet_Size'].isna()) & (cat_data['Outlet_Type'] == 'Grocery Store'), ['Outlet_Size']] = 'Small'

cat_data.loc[(cat_data['Outlet_Size'].isna()) & (cat_data['Outlet_Type'] == 'Supermarket Type1'), ['Outlet_Size']] = 'Small'

cat_data.loc[(cat_data['Outlet_Size'].isna()) & (cat_data['Outlet_Type'] == 'Supermarket Type2'), ['Outlet_Size']] = 'Medium'

cat_data.loc[(cat_data['Outlet_Size'].isna()) & (cat_data['Outlet_Type'] == 'Supermarket Type3'), ['Outlet_Size']] = 'Medium'

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