bank_marketing_dummy_only.py

# Separating with continuous and categorical variables.

X_cont = ['age', 'campaign', 'pdays', 'previous', 'emp.var.rate', 'cons.price.idx', 'euribor3m', 'nr.employed']
X_cat = ['job', 'marital', 'education', 'default', 'housing', 'loan', 'contact', 'month', 'day_of_week', 'poutcome']

cont_df = X_df[X_cont]
cat_df = X_df[X_cat]

# Creating dummy variable dataframe from categorical variables.

X_df = cont_df.join(pd.get_dummies(cat_df))