Can we predict the calories burned during a workout based on physiological statistics, workout intensity, and lifestyle habits?
This dataset comes from kaggle "Life Style Data", it captures detailed personal, nutritional, and fitness-related data for 20,000 individuals with 54 features. It contains health parameters such as age, weight, and BMI; exercise variables including BPM, duration, and activity type; and nutritional information such as macronutrient breakdown and meal classifications.… See the full description on the dataset page:
https://huggingface.co/datasets/uleeberber/calories_prediction1.
