Machine Learning Prep and Train Toolkit

The ML Prep and Train project originated to address the need for a standardized approach to preparing datasets and training machine learning models. The toolkit provides functionality for cleaning and structuring data, feature extraction, and utilizing various machine learning algorithms for binary classification. With an emphasis on efficiency and best practices, this project serves as a cornerstone for data scientists needing to quickly iterate and test hypotheses in their binary classification problems.

Feel free to explore the project’s repository on GitHub and contribute or adapt the toolkit to your specific needs.