A Machine Learning project designed to predict the number of calories burned during physical activity based on different user and exercise features such as age, gender, height, weight, exercise duration, heart rate, and body temperature.
The project includes data cleaning, handling missing values, preprocessing categorical and numerical features, feature scaling, data visualization, and training Machine Learning models to make accurate predictions.
**Technologies:** Python, Pandas, NumPy, Scikit-learn, Matplotlib, Machine Learning, Jupyter Notebook, and Google Colab.