Loan Approval Prediction using Python Machine Learning
This project predicts whether a loan application will be approved or rejected based on applicant data such as income, credit history, and employment status. It involves data preprocessing, feature engineering, and training classification models like Logistic Regression or Random Forest. The system helps financial institutions automate decision-making and reduce risk.
Project ID: 0627
Sub domains: Machine Learning
Domain: Python
Project Year: 2026
Keywords: Machine Learning Loan Prediction Classification FinTech Logistic Regression Random Forest Data Preprocessing Credit Risk Predictive Modeling
Project Cost : ₹6500
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