Exercise

Pre-process data

First step in the segmentation process is to pre-process the data. You will apply log transformation, and then normalize the data to prepare it for clustering.

We have loaded the dataset with RFMT values as datamart_rfmt. Also, the pandas library is loaded as pd, and numpy as np.

Please feel free to explore the expanded RFMT dataset in the console.

Instructions

100 XP

Import StandardScaler, initialize it, ad store as scaler.
Apply log transformation to the raw RFMT data.
Initialize the scaler and fit it on the log-transformed data.
Transform and store the scaled data as datamart_rfmt_normalized.

Take Hint (-30 XP)