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Create utils.py
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utils.py
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# create new features
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def create_new_features(df):
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df['year_sold'] = df['date'].dt.year
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df = df.drop(columns=['date'])
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df['house_age'] = df['year_sold'] - df['yr_built']
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df['years_since_renovation'] = df['year_sold'] - df['yr_renovated']
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df.drop(columns=['year_sold'], inplace=True)
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df['has_basement'] = df['sqft_basement'].apply(lambda x: 1 if x > 0 else 0)
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return df
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def normalize(df, col, min_dict, max_dict):
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numerical_features = ['bedrooms', 'bathrooms', 'sqft_living', 'sqft_lot', 'floors', 'waterfront',
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'view', 'condition', 'sqft_above', 'sqft_basement',
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'yr_built', 'yr_renovated', 'house_age', 'years_since_renovation']
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df[col] = df[col].apply(lambda x: (x-min_dict[col])/(max_dict[col]-min_dict[col]))
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return df[col]
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