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Data Analyst Portfolio

Overview

This is a data analyst portfolio project containing Jupyter notebooks for data analysis and machine learning. The main project is a Telco Customer Churn Analysis.

Project Structure

.
├── README.md                           # Project documentation
├── Telco_Customer_Churn_Project.ipynb  # Main analysis notebook
├── pyproject.toml                      # Python dependencies
└── replit.md                           # Replit project info

Running the Project

The project runs JupyterLab on port 5000. Click the "Run" button or the webview to access JupyterLab and open the notebook.

Dependencies

  • Python 3.11
  • JupyterLab
  • pandas, numpy
  • matplotlib, seaborn
  • scikit-learn
  • kagglehub (for dataset downloads)

Notes

  • The notebook uses kagglehub to download the Telco Customer Churn dataset from Kaggle
  • Make sure to run cells in order from top to bottom