Finalised initial release of WhizML, a reusable codebase for fast data science and machine learning experimentation, integrating various open-source tools to support automatic EDA, ML models experimentation and tracking, model inference, model explainability, bias, and data drift analysis.

First release for WhizML, a reusable codebase for fast data science and machine learning experimentation,
integrating various open-source tools to support automatic EDA, ML models experimentation
and tracking, model inference, model explainability, bias, and data drift analysis.