Regression Model Evaluation (Python)

Master the process of evaluating regression models in Python to ensure precise and reliable predictions. This project focuses on understanding key performance metrics and validation techniques.

• Evaluation Metrics – Analyze model performance using MAE, MSE, RMSE, and R-squared.
• Model Validation – Test how well your model generalizes to unseen data.
• Python Libraries – Leverage Scikit-learn, NumPy, and Matplotlib for robust evaluation.

Enhance your machine learning skills by learning to critically assess and improve regression models.