This project aims to predict loan approval status using machine learning models. The main goal is to help financial institutions automate the loan approval process and improve efficiency.
To run the project, use the following command:
mlflow run https://github.com/NishchalRavish/Loan_Prediction --experiment-name Loan_predictionThe dataset used for this project is available in the data directory. It contains information about loan applicants such as their income, credit history, loan amount, etc.
Several machine learning models are implemented in this project, including:
Logistic Regression
Random Forest
Gradient Boosting
The models are evaluated based on accuracy, precision, recall, and F1-score. The best-performing model is selected for predicting loan approval status.