For this lab, we still keep using the marketing_customer_analysis.csv file that you can find in the files_for_lab folder.

It's time to put it all together. Remember the previous rounds and follow the steps as shown in previous lectures.

• Data Description.
• Goal.

• Read the .csv file.

• Change headers names.
• Deal with NaN values.
• Categorical Features.
• Numerical Features.
• Exploration.

• Dealing with outliers.
• Normalization.
• Encoding Categorical Data.
• Splitting into train set and test set.

• Apply model.

• R2.
• MSE.
• RMSE.
• MAE.

• Present results.