Intro

This repository complements the notebook sequence on Kaggle, the platform where all the code that has been or will be presented in this repository was executed.

Here are the links:

1. Primary processing of the dataset from Lending Club
2. Dataset after primary processing
3. Adding new features and dividing the data into training, test and variation samples
4. Building an interpretable logistic regression model using WoE and binning
5. Building non-interpretable models (Unfortunately I didn't have time to finish this part)