ML_Exercise_Health_Analysis

ML_Exercise_Health_Analysis is a Python project focusing on the analysis of exercise and health-related data using machine learning techniques. The project aims to provide insights into the relationships between exercise habits and health outcomes through exploratory data analysis (EDA) and predictive modeling

Usage

• Load the provided dataset into a Pandas DataFrame.
• Run the provided Python scripts or notebooks to perform exploratory data analysis (EDA) and predictive modeling.
• Analyze the results and gain insights into exercise and health-related data.

Features

• Data: Contains the dataset(s) used in the project.
• Notebooks: Includes Jupyter notebooks with code for data analysis and visualization.
• Scripts: Contains Python scripts for running specific tasks or analyses.
• Requirements.txt: Lists all Python dependencies required to run the project.

Acknowledgments

Special thanks to Professor Endrit Dosti for guidance and support throughout this semester.

Author

• @numbhill