This repository contains two projects of supervised classification: The first one is a credit scoring prediction problem for a bank. This school project (M2 diderot) is based on real data.
Let's briefly explain the structure:
- notebook contains the code (in ipynb and pdf)
- octroi_RCI.csv = the clients data
- visual_presentation.pdf = the final pwp presentation that we made at the end of the challenge
The second one is a customer satisfaction score prediction. It is based from the following kaggle competition: https://www.kaggle.com/teejmahal20/airline-passenger-satisfaction. Please note that I tried to focus mainly on the business perspective and that I did not much detailed the technical part. The structure is similar:
- notebook.ipynb (the code)
- report = the detailed report of the project
- visual_presentation.pdf = a pwp for an more visual presentation