online_attributes.py

# Convert binary to int
df['Weekend'] = df['Weekend'].astype('int64')
df['Revenue'] = df['Revenue'].astype('int64')

# One hot encoding 
dummy_columns = ['OperatingSystems','Browser','Region','TrafficType','VisitorType']

for column in dummy_columns:
    df_dummies = pd.get_dummies(df[column], drop_first = True, prefix = column+"_")    
    df = pd.concat([df, df_dummies], axis = 1)
    
df = df.drop(columns = dummy_columns)

# Accounting for all months in the calendar
months = ['Jan','Feb','Mar','Apr','May','June','Jul','Aug','Sep','Oct','Nov','Dec']

for mx in months[1:]:    # drop_first = True
    df[mx] = (df['Month'] == mx).astype('int64')

df = df.drop(columns = ['Month'])