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What is Calorie Burn Prediction Model Report about?

This document presents a mini project report on developing a calorie burnt prediction model. It discusses developing an XGBoost regressor algorithm to predict calories burned based on variables like workout duration, body temperature, height, weight, age, and gender of an individual. It includes chapters on introduction, literature survey, proposed methodology using Google Colab, results and discussion comparing XGBoost and linear regression models, and conclusions stating that XGBoost regressor performed b

Author

Sparsh Dhama

Language

EN