cdenq / loan-high-risk-predicter

Python supervised machine learning challenge that utilizes Logistic Regression and Random Forest models to predict whether loans will become high risk or not.

loan-high-risk-predicter

About Predicting Credit Risk

Predicting Credit Risk is a Python machine learning challenge that predicts whether a loan from LendingClub will become high risk or not. The machine learning models used are the Logistic Regression model and Random Forest Classifier model.

LendingClub is a peer-to-peer lending services company that allows individual investors to partially fund personal loans, as well as, buy and sell notes backing the loans on a secondary market. LendingClub offers their previous data through an API.

Built with

• Python
  • SKLearn
    • Logistic Regression
    • Random Forest Classifier
    • Standard Scaler
    • Label Encoder
    • One-Hot Encoder
  • Matplotlib

Technical Skills

• Data preprocessing for machine learning
• Applying machine learning models on datasets
• Visualization on multivariate datasets

Screenshots