https://github.com/nabilalibou/uber_fare_prediction_explained
This repository documents a complete ML workflow to model Uber fares in Paris, from granular EDA and feature engineering to building and fine-tuning a stacking regressor on 10k real-world rides.
https://github.com/nabilalibou/uber_fare_prediction_explained
data-analysis data-science eda feature-engineering machine-learning predictive-analytics pricing-model python regression-model stacking-ensemble uber
Last synced: 10 months ago
JSON representation
This repository documents a complete ML workflow to model Uber fares in Paris, from granular EDA and feature engineering to building and fine-tuning a stacking regressor on 10k real-world rides.
- Host: GitHub
- URL: https://github.com/nabilalibou/uber_fare_prediction_explained
- Owner: nabilalibou
- License: mit
- Created: 2024-12-20T21:50:28.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-08-06T22:53:06.000Z (10 months ago)
- Last Synced: 2025-08-07T00:25:59.254Z (10 months ago)
- Topics: data-analysis, data-science, eda, feature-engineering, machine-learning, predictive-analytics, pricing-model, python, regression-model, stacking-ensemble, uber
- Language: Jupyter Notebook
- Homepage:
- Size: 19.2 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0