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This project implements a dynamic pricing strategy for a ride-sharing service using Python.\r\n\r\n## Features\r\n- Data analysis and visualization\r\n- Dynamic pricing algorithm implementation\r\n- Machine learning model for price prediction\r\n- Profitability analysis\r\n\r\n\r\n\r\n## Usage\r\nRun the Jupyter notebook for exploratory analysis:\r\njupyter notebook notebooks/dynamic_pricing_analysis.ipynb\r\nTo train the model:\r\npython src/model_training.py\r\nTo make predictions:\r\npython src/predict.py\r\n\r\n## Data :\r\nThe dataset used in this project contains information about:\r\nNumber of riders\r\nNumber of drivers\r\nVehicle type\r\nExpected ride duration\r\nHistorical cost of rides\r\n\r\n## Results : \r\nOur dynamic pricing strategy achieved [X]% improvement in profitability compared to fixed pricing.\r\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fzahramh99%2Fdynamic-pricing-strategy","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fzahramh99%2Fdynamic-pricing-strategy","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fzahramh99%2Fdynamic-pricing-strategy/lists"}