ml-engineering-lab

A collection of machine learning engineering projects, datasets, and Jupyter notebooks for experimentation, learning, and prototyping.

Project Structure

• datasets/ — Contains various CSV and image datasets used in the notebooks.
• notebooks/ — Jupyter notebooks with end-to-end ML workflows, data analysis, and model building.
• README.md — Project overview and instructions.

Getting Started

1. Clone this repository:

   git clone <repo-url>
   cd ml-engineering-lab

2. (Optional) Set up a Python virtual environment:

   python3 -m venv venv
   source venv/bin/activate

3. Install required packages (if any):

   pip install -r requirements.txt

4. Open the notebooks in Jupyter:

   jupyter notebook notebooks/

Notebooks

• Each notebook in notebooks/ is self-contained and documents its own workflow.
• Example topics: bank churn prediction, credit card user churn, food order analysis, support ticket categorization, and more.

Datasets

• Datasets are provided in the datasets/ folder and are referenced by the notebooks.
• Most datasets are in CSV format; some are images or Excel files.

Contributing

Contributions are welcome! Please open an issue or submit a pull request for improvements or new notebooks.

License

See the LICENSE file for full details.