📈 Smart detection of under and overperformance in business sales using machine learning

Here is a peek at my project on the application of Machine Learning algorithms to the field of business and sales.

Let's dive in🚀

Overview

📌 Determined natural groups of Chipotle stores in the US (K-Means clustering, Silhouette and Elbow optimization)

📌 Developed a subroutine for modern, clear and understandable cluster visualization (ConvexHull, Spline Interpolation of boundaries)

📌 Found stores that are under or overperforming the neighboors (Ouliers detection algorithm and its optimization studies)

Tech Stack

Programming Language: Python 🐍

Environment: Google Colab

Libraries: Scikit-Learn, Plotly, Matplotlib

Acknowledgements

• Advice on data processing and Machine Learning algorithms
• Dataset of Chipotle store location

🔗 Links

Contributing

Contributions are always welcome! Just hit me via the email or LinkedIn mentined above.

License

MIT

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This is an interesting framework to look for under or over performace in business sales. Enjoy!✌