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.

ml-glossary
51
Established
ml-cheatsheet
40
Emerging
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 0/25
Adoption 10/25
Maturity 8/25
Community 22/25
Stars: 3,114
Forks: 729
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stars: 167
Forks: 53
Downloads:
Commits (30d): 0
Language:
License:
Stale 6m No Package No Dependents
No License Stale 6m No Package No Dependents

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.

machine-learning artificial-intelligence data-science technical-education software-engineering

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.

data-science data-analysis machine-learning-workflow exploratory-data-analysis feature-engineering

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