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calories-burnt-prediction

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This project involves building a regression model to predict the number of calories burned during exercise based on input features like age, weight, height, gender , session duration etc... The model is trained to minimize the error's and providing accurate predictions of calories burned.

  • Updated Feb 18, 2025
  • Jupyter Notebook

Developed a Streamlit-based web app featuring regression prediction projects for House Price, Car Price, Gold Price, Medical Insurance Cost, Big Mart Sales, and Calories Burnt using various machine learning models.

  • Updated Sep 24, 2024
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