data-science-project-template 1.0.0

Data Science Project Template

Data Science Project Template

A Python package for streamlining data science projects by providing a standardized folder structure and essential tooling.

Features

• Standardized project structure for data science workflows.
• Pre-configured directories for data, models, notebooks, and more.
• Ready-to-use integrations for cloud services (e.g., GCP), MLFlow, and S3 buckets.
• Modular and flexible for a variety of use cases.

Installation

Install the package using pip:

pip install data-science-project-template==0.1.0

## Usage
Initialize a new data science project using the template:

from data_science_project_template import initialize_project

initialize_project('my_new_project')

Folder Structure

├── data/ # Raw, processed, and interim data ├── models/ # Trained models and serialized outputs ├── notebooks/ # Jupyter notebooks for exploration and analysis ├── src/ # Source code for ETL, feature engineering, and model building ├── config/ # Configuration files for experiments and pipelines └── docs/ # Documentation and references

Contributing

Contributions are welcome! Please open an issue or submit a pull request for any feature requests or bug fixes.

License

This project is licensed under the MIT License. See the LICENSE file for details.