Скачать или смотреть 📌 Credit Risk Prediction Using Machine Learning & Neural Networks | Model Optimization & Comparison

🚀 In this video, I walk through my Credit Risk Prediction project, where I implement and compare Machine Learning and Neural Network models to classify loan applicants as low-risk or high-risk.

🔍 What’s Covered in This Video?
✅ Problem Statement & Dataset Overview 📊
✅ Implementation of ML Models (Logistic Regression, SVM, XGBoost)
✅ Neural Network Models (Basic & Optimized)
✅ Optimization Techniques (Adam, RMSprop, L1/L2 Regularization, Dropout)
✅ Performance Comparison & Best Model Selection
✅ Confusion Matrix & Error Analysis
✅ Key Findings & Future Improvements

📌 Best Model: The optimized Neural Network with Adam optimizer & L2 regularization achieved 90% accuracy, outperforming classical ML models!

🎯 Next Steps:

Test on real-world financial data
Deploy as an API for credit risk assessment