utsavk28/ML-DS-Guide
Complied Resources for learning Machine Learning & Data Science
This is a curated collection of resources designed to guide individuals through the process of learning Machine Learning and Data Science. It organizes links to tutorials, courses, practice problems, and projects across core areas like mathematics, data science libraries, and machine learning algorithms. The intended user is anyone aspiring to gain skills in data science or machine learning, from beginners to those looking to deepen specific areas.
No commits in the last 6 months.
Use this if you are a student or professional who wants a structured roadmap and readily available resources to learn data science and machine learning.
Not ideal if you are an experienced data scientist or machine learning engineer looking for advanced research papers or cutting-edge techniques.
Stars
54
Forks
9
Language
—
License
MIT
Category
Last pushed
May 28, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/utsavk28/ML-DS-Guide"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
csinva/csinva.github.io
Slides, paper notes, class notes, blog posts, and research on ML 📉, statistics 📊, and AI 🤖.
ml-tooling/best-of-jupyter
🏆 A ranked list of awesome Jupyter Notebook, Hub and Lab projects (extensions, kernels, tools)....
louisfb01/start-machine-learning
A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in...
leehanchung/awesome-full-stack-machine-learning-courses
Curated list of publicly accessible machine learning engineering courses from CalTech, Columbia,...
harleyszhang/cv_note
记录cv算法工程师的成长之路，分享计算机视觉和模型压缩部署技术栈笔记。https://harleyszhang.github.io/cv_note/