Shrinkit is a powerful GUI-based Python library designed for automating machine learning tasks. With its intuitive interface, Shrinkit simplifies the process of building, training, and evaluating machine learning models, making it accessible to users of all skill levels. Shrinkit is a No-code package which can be used through a graphical interface to upload, process and train datasets on the go!
- User-Friendly Interface: Shrinkit provides a user-friendly graphical interface that enables users to interactively perform various machine learning tasks without writing a single line of code.
- Automated Model Selection: With Shrinkit, users can automatically select the best machine learning model for their dataset using advanced algorithms and techniques.
- Hyperparameter Optimization: Shrinkit optimizes model hyperparameters to enhance model performance and accuracy, ensuring optimal results.
- Visualization Tools: Shrinkit offers a range of visualization tools to analyze and interpret model performance, feature importance, and more.
- Export and Deployment: Once a model is trained, Shrinkit allows users to export the model for deployment in production environments seamlessly.
To install Shrinkit, simply use pip:
pip install shrinkit
Streamlit App: https://shrinkit.streamlit.app/
PyPI Package: https://pypi.org/project/shrinkit/
Source Code: https://github.com/blurred-machine/shrinkit
Contributions to Shrinkit are welcome! Feel free to submit bug reports, feature requests, or pull requests on the GitHub repository.
This project is licensed under the Apache License - see the LICENSE file for details.