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.
167 stars. No commits in the last 6 months.
Use this if you are a data scientist or analyst looking for a structured approach and common code patterns to clean data, understand its distributions, and prepare it for machine learning algorithms.
Not ideal if you are looking for advanced machine learning model training and deployment strategies, or if your primary focus is on unstructured data types like images or text.
Stars
167
Forks
53
Language
—
License
—
Category
Last pushed
Aug 24, 2017
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/jayinai/ml-cheatsheet"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
matyushkin/ds
👨🔬 In Russian: Обновляемая структурированная подборка бесплатных ресурсов по тематикам Data...
AdiBro/Data-Science-Resources
Data Science related resources and cheatsheets
kailashahirwar/cheatsheets-ai
Essential Cheat Sheets for deep learning and machine learning researchers...
frontbenchHQ/Data-Science-Free
Free Resources For Data Science created by Shubham Kumar
bfortuner/ml-glossary
Machine learning glossary