ml-glossary and ml-cheatsheet
These two tools are complements, as one provides definitions and explanations of machine learning terms (glossary), while the other offers practical code snippets and reminders for common machine learning tasks (cheatsheet), making them useful to reference together during development.
About ml-glossary
bfortuner/ml-glossary
Machine learning glossary
This glossary helps data scientists, machine learning engineers, and students quickly understand complex machine learning concepts. You input a term you need to define, and it provides a concise explanation, often with visuals, code snippets, or equations. It's designed for anyone needing clear, accessible definitions in the field of artificial intelligence.
About ml-cheatsheet
jayinai/ml-cheatsheet
A constantly updated python machine learning cheatsheet
This project provides a practical guide and reusable code snippets for anyone building machine learning models from scratch. It walks you through a typical machine learning workflow, showing you how to prepare raw data, explore its characteristics, and engineer relevant features. The target user is a data scientist or data analyst who needs to develop a predictive model from structured datasets.
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