Credit Risk Analysis
This project involves the use of Scikit-Learn, a Python library for machine learning, to build a credit risk analysis model. The model is trained on a dataset containing information about loan applicants. The model is trained to classify loan applicants as either low-risk or high-risk.
- K-Nearest Neighbors
- Decision Tree Classifier
- Naive Bayes
- Random Forest Classifier