awesome-educational-games
ML-For-Beginners
awesome-educational-games | ML-For-Beginners | |
---|---|---|
3 | 28 | |
814 | 67,267 | |
2.1% | 3.0% | |
0.0 | 7.6 | |
about 1 month ago | 6 days ago | |
HTML | ||
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
awesome-educational-games
-
Good coding groups for black women?
- https://github.com/yrgo/awesome-educational-games
-
Data Science or Computer Programming online certificate?
For more interactive resources, check out https://github.com/yrgo/awesome-educational-games , and for project-based learning https://github.com/practical-tutorials/project-based-learning , theres a bunch of good resources there.
- Can anyone recommend any deep web sites that hosts certificate courses from reputable universities for free? Or any edtech sites on the deep web. Thanks.
ML-For-Beginners
-
Good coding groups for black women?
- https://github.com/microsoft/ML-For-Beginners
Also check out this list Pitt puts out every year:
- FLaNK Stack Weekly for 20 Nov 2023
- ML for Beginners GitHub
-
is it worth learning NLP without master degree?
I don't recommend just jumping in into natural language processing directly without understanding artificial intelligence theory. I personally recommend for you to start with the basic stuff (regression, classification, and clustering, for example), and then jump into more advanced topics. You already know software developer stuff, so that's a big step already, and it should be easier to understand some concepts. Maybe follow Microsoft's machine learning for beginners curriculum? It looks like a good roadmap overall to not instantly burn out on nlp
- AI i Machine Learning
- I want to learn more about AI and Machine Learning
-
Pocetak ML karijere
https://github.com/microsoft/ML-For-Beginners jel mislis na ovo?
- How could I have known
- GitHub - microsoft/ML-For-Beginners: 12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
- How do I reset my career after already getting my masters?
What are some alternatives?
cs-video-courses - List of Computer Science courses with video lectures.
FLAML - A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
Awesome Cryptography - A curated list of cryptography resources and links.
lego-mindstorms - My LEGO MINDSTORMS projects (using set 51515 electronics)
awesome-network-analysis - A curated list of awesome network analysis resources.
pycaret - An open-source, low-code machine learning library in Python
freeCodeCamp - freeCodeCamp.org's open-source codebase and curriculum. Learn to code for free.
Data-Science-For-Beginners - 10 Weeks, 20 Lessons, Data Science for All!
pyVHR - Python framework for Virtual Heart Rate
S2ML-Art-Generator - Multiple notebooks which allow the use of various machine learning methods to generate or modify multimedia content [Moved to: https://github.com/justin-bennington/S2ML-Generators]
amazon-denseclus - Clustering for mixed-type data
rmi - A learned index structure