Abstract:

The overarching idea of this research project is to make a comparative study of machine learning algorithms to predict the calories burn during the workout.

In this paper we first build a machine learning systems that can predict the amount of calories burnt during exercise.

In today’s world many people are inquisitive about the workout that they do and the weight loss plan that they take and how much calorie do they burn once they workout.

To solve this problem we can use ML alggoirthms such as XGBoost regressor and Linear Regression.

Notes:
• Document your code that supports mathematical equations.
• Create, upload, and share notebooks.
• Import and save notebooks from or to Google Drive.
• Import or publish notebooks from GitHub.
• Import external datasets, e.g., from Kaggle.
• Integrate PyTorch, TensorFlow, Keras, and OpenCV.
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