Calories Burnt Prediction Using XG BOOST Regr...

Calories Burnt Prediction Using XG BOOST Regression Algorithm

Author Name : Prof. Poonam Vengurlekar, Ashwini Saravanakumar, Mitu Guru, Aayushi Yerra

DOI: https://doi.org/10.56025/IJARESM.2023.1205243323

ABSTRACT The main goal of this research project is to use the XG Boost algorithm to predict the number of calories burned in order to provide more accurate results. Prior to feeding the data to the regression models, the major steps are data preparation, data cleaning, and data analysis. Number of calories burnt is predicted using a machine learning XG Boost regressor technique, which is dependent on a number of variables