Calorie Burn Prediction Project

Overview

This project aims to predict calorie burn using historical data on exercises and calorie consumption. The model utilizes the HistGradient Boosting Regressor to provide accurate predictions based on the imported datasets from Kaggle.

Files

• calories.csv: Contains data related to calorie consumption. Download from Kaggle
• exercise.csv: Contains data related to exercise activities. Download from Kaggle

Dependencies

To run this project, ensure you have the following Python libraries installed:

• pandas
• numpy
• scikit-learn
• matplotlib (for any visualizations)
• jupyter (for running the notebook)

You can install these libraries using pip:

pip install pandas numpy scikit-learn matplotlib jupyter