Eda, Exploratory Data Analysis, Pandas, Python.
individual features for affluent and normal customers. I used a significance of 0.05 and found that the credit card features were found to be insignificant. aff_df = df_l2[df_l2['c_seg_encoded']==1] norm_df = df_l2[df_l2['c_seg_encoded']==0] norm_df_2 = norm_df.sample(frac=0.2, random_state=88) #