Logistic_optimization: Delivery drivers location optimisation with Causal Inference

Description

This project performs exploratory data analysis, feature engineering, and causal modeling on delivery data.

Folder Structure

• config/: Contains configuration files.
• notebooks/: Contains Jupyter notebooks for analysis.
• scripts/: Contains the Python scripts for data processing, feature engineering, and modeling.
• tests/: Contains tests for the python scripts.
• playground/: Contains tutorial files and notebooks.
• requirements.txt: List of dependencies.
• README.md: Project documentation.

Setup

1. Install the dependencies pip install -r requirements.txt
2. Configure API keys in config/config.yaml.

Usage

1. Configure API keys in config/config.yaml.
2. Run data loading and preprocessing
3. Fetch and add external data
4. Perform EDA and causal inference
5. Conduct model training

License

This project is licensed under the MIT License.