GitHub - RyhanSunny/ML-Business-Case-Study--Machine-Learning-Application-in-Ride-Sharing-Revenue-Enhancement: This ML project focuses on maximizing Lyft's revenue in a new city launch. It employs an ML model to evaluate simulated data, predicting optimal fare structures that balance Lyft's earnings, driver payments, and churn rates. This approach aims for dynamic, data-driven strategy adjustment to continuously optimize net revenue.

RyhanSunny / ML-Business-Case-Study--Machine-Learning-Application-in-Ride-Sharing-Revenue-Enhancement Public

This ML project focuses on maximizing Lyft's revenue in a new city launch. It employs an ML model to evaluate simulated data, predicting optimal fare structures that balance Lyft's earnings, driver payments, and churn rates. This approach aims for dynamic, data-driven strategy adjustment to continuously optimize net revenue.

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Case Study 1 - The ML Approach - Ryhan's Jupyter NoteBook.ipynb		Case Study 1 - The ML Approach - Ryhan's Jupyter NoteBook.ipynb
Case Study 1 - The ML Approach - Ryhan's Jupyter NoteBook.ipynb.md		Case Study 1 - The ML Approach - Ryhan's Jupyter NoteBook.ipynb.md