Emmanuel1118/Learn-ML-Basics
A collection of resources that should help and guide your first steps as you learn ML and DL. I am a beginner as well, and these are the resources I found most useful.
This is a guided learning path for anyone looking to understand and apply machine learning and deep learning concepts. It takes you from a beginner level with Python to being able to build basic deep learning models. You'll gain a strong foundation in the mathematical and practical aspects of the field, enabling you to continue learning independently.
No commits in the last 6 months.
Use this if you have basic programming knowledge in Python and want a structured, self-paced curriculum to learn the core ideas of deep learning and build simple classifiers.
Not ideal if you are an experienced machine learning practitioner looking for an exhaustive catalog of advanced resources or a collection of pre-built models.
Stars
92
Forks
8
Language
—
License
—
Category
Last pushed
Aug 21, 2020
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/Emmanuel1118/Learn-ML-Basics"
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/