Can you list out the steps to do these task below and the codes as jupyter notebook for it.

As for the code, assume the data will have column with numerical such as: age, euribor3m, number of money own,...; categorical: name. job, marital, loan, ....

Task 2: Feature Engineering Use suitable Python approaches to extract potential features for model input. Conduct appropriate analysis to evaluate feature importance (e.g. correlation analysis), then use suitable method(s) to select the final features for the model. The feature choices must be explained via analysis. Note: These steps must be performed consistently for train/val/test sets.