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:

You can install the required packages using:

pip install -r requirements.txt