create 4 python scripts and 1 shell file

[pan1fan2]

Hello S and J,

I wrote 4 python scripts and 1 shell file based on the latest ipynb file to do the followings:

1. generate the train and test dataset (dt_cr.py)

2. create a viz (eda_figs.py)

3. transform the training and test dataset(pre.py)

4. fit the transformed training dataset and compare the performances of different classification models (cl_comp.py)

Please refer to the comments in the shell file if you want to run above scripts. You can also find the numbers and locations of output files.

I test the shell file locally, so it should work fine on your pc as well