Walmart Sales Prediction: A Competitive Data Science Challenge

This project is a machine learning competition hosted on Kaggle platform, focused on forecasting Walmart's monthly and quarterly sales. We tasked with developing advanced predictive models to accurately predict Walmart's sales, taking into account various factors such as historical sales data, macroeconomic indicators, and local market conditions.

Table of Contents

1. Exploratory Data Analysis EDA
2. Feature Engineering
3. Modelling
4. Model Evaluation
5. Conclusion
6. Kaggle Competition Link
7. Contributing
8. License

Exploratory Data Analysis EDA

Modelling / Hyperparameter Tuning

Model Evaluation

Kaggle Submission

Conclusion

Kaggle Walmart Sales Prediction Competition Link

Contributing

Contributions are welcome! Please fork the repository and submit a pull request.

License

This project is licensed under the MIT License. See the LICENSE file for details.