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feature-engineering

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This is a collection of all the machine learning techniques required in any machine learning project. It contains detailed descriptions, videos, book recommendations, and additional material to properly grasp all the concepts. It also contains implementations in various frameworks.

  • Updated May 8, 2024
  • Jupyter Notebook

Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage and metadata. Runs and scales everywhere python does.

  • Updated May 8, 2024
  • Jupyter Notebook
nni

Data search & enrichment library for Machine Learning → Easily find and add relevant features to your ML & AI pipeline from hundreds of public and premium external data sources, including open & commercial LLMs

  • Updated May 8, 2024
  • Python

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