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.
- Python
- SKLearn
- Logistic Regression
- Random Forest Classifier
- Standard Scaler
- Label Encoder
- One-Hot Encoder
- Matplotlib
- SKLearn
- Data preprocessing for machine learning
- Applying machine learning models on datasets
- Visualization on multivariate datasets