Fitness Data Analysis

This project performs data analysis on a fitness tracking dataset. The analysis includes:

• Data exploration and descriptive statistics.
• Correlation analysis of numerical features.
• Linear regression to predict calories burned based on app sessions and distance traveled.
• KMeans clustering for user segmentation.

Requirements

To run this project, you'll need the following Python libraries:

• pandas==2.1.1
• seaborn==0.12.2
• matplotlib==3.8.0
• scikit-learn==1.3.0

You can install the required packages using:

pip install -r requirements.txt