Calories Burned Prediction Using Machine Learning

Machine Learning project for predicting calories burned during physical activity. The project covers EDA, data cleaning, preprocessing, feature selection, outlier analysis, regression modeling, and model evaluation using R². Multiple regression approaches were compared, including Gradient Descent, Ridge, Lasso, and Elastic Net.