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.