Mohshaikh23/Dynamic-Pricing-Strategy
Adjusting the prices of a product or service based on various factors in real time
Implements demand-driven pricing for ride-sharing using a Random Forest Regressor trained on historical ride data, with inputs for rider/driver supply ratios, vehicle type, and duration. Built as a Streamlit web application, it generates interactive Plotly visualizations comparing predicted prices against actuals and profiles ride profitability distribution. Includes data preprocessing to handle missing values and accepts CSV datasets for model retraining.
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20
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6
Language
Jupyter Notebook
License
MIT
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Last pushed
Aug 14, 2023
Commits (30d)
0
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