Calories-Burned-Prediction Using Machine Learning. (Regression Use Case)
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Updated
Jan 9, 2023 - Jupyter Notebook
Calories-Burned-Prediction Using Machine Learning. (Regression Use Case)
Free WordPress Plugin: Discover how many calories you burn during exercise. Our free Calories Burned Calculator gives accurate estimates based on activity, weight, and duration. www.calculator.io/calories-burned-calculator/
Swift SDK for submitting products into Open Food Facts database. Written on SwiftUI+Combine, distributed via SPM
🫀 🫁 Cardyo is a sports WatchOS application that records and calculates cardiovascular metrics with HealthKit. This application is designed for people who enjoy sports commonly played in Indonesia and wants to tracked their cardiovascular metrics. 👟 🏸
A machine learning project which predicts the healthcare based on given certain features.
Predict calories burned during workouts using ML & ANN. Built with Keras, pandas, and scikit-learn.
A machine learning project that predicts Calories burnt using XGBoost regressor.
Calories burned prediction using machine learning
An application that proposes an estimate of TDEE (Total Daily Energy Expenditure) based on a person's step count and offers to track TDEE over time.
This system is a machine learning-based web application built with Python, Scikit-learn, and Flask that predicts the calorie expenditure based on various features such as Weight, Height, Body Temperature, and Heart Rate.
Calories Burnt Prediction
Fitbit is a free full-version health and fitness software for Windows that turns your PC into a powerful control panel for your physical activity. Sync your Fitbit wearables, monitor steps, calories burned, and sleep patterns. Download the latest version free.
To associate your repository with the calories-burned topic, visit your repo's landing page and select "manage topics."