Project Title

Credit Risk Analysis

Description

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.

Machine Learning Algorithms Used

1. K-Nearest Neighbors
2. Decision Tree Classifier
3. Naive Bayes
4. Random Forest Classifier