https://github.com/saidabderrahmane/bus_line_supervision
Performance evaluation of the Saint-Sébastien bus line using real data to predict the number of passengers.
https://github.com/saidabderrahmane/bus_line_supervision
beautifulsoup4 data-analysis data-science deep-learning machine-learning python scraper sklearn
Last synced: 2 months ago
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Performance evaluation of the Saint-Sébastien bus line using real data to predict the number of passengers.
- Host: GitHub
- URL: https://github.com/saidabderrahmane/bus_line_supervision
- Owner: SaidAbderrahmane
- Created: 2025-01-05T19:32:07.000Z (over 1 year ago)
- Default Branch: master
- Last Pushed: 2025-01-12T17:32:24.000Z (over 1 year ago)
- Last Synced: 2025-01-12T18:32:15.262Z (over 1 year ago)
- Topics: beautifulsoup4, data-analysis, data-science, deep-learning, machine-learning, python, scraper, sklearn
- Language: Jupyter Notebook
- Homepage:
- Size: 4.08 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: readme.md
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README
## Project Overview
Performance evaluation of the Saint-Sébastien bus line using real data to predict the number of passengers.
## General Objectives:
- Data analysis and extraction of contextual variables (temporal factors, weather, special events).
- Design of a predictive model for passenger traffic using XGBoost, based on temporal, weather, and event-based data.
- Hyperparameter optimization and evaluation using metrics such as MSE and RMSE to ensure accuracy.
## Project Structure
The project is structured as follows:
- `docs`: contains the project specification and evaluation guidelines.
- `data`: contains the raw datasets used and the extracted features.
- `models`: contains the model used for prediction.
- `main.ipynb`: The Jupyter notebook used for data analysis and model prototyping.
- `scrapper.py`: The Python script used to scrape the football games data.
- `requirements.txt`: contains the Python packages required to run the project.
## Setup
- Install the required packages using `pip install -r requirements.txt`