Dive into Machine Learning with Python Jupyter notebook and scikit-learn!
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Updated
May 16, 2021
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Dive into Machine Learning with Python Jupyter notebook and scikit-learn!
Learn You The Node.js For Much Win! An intro to Node.js via a set of self-guided workshops.
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Not all tutorials help every single person, ideally there's a mix of tutorials that can help people with different parts of the project. We should link great examples of tutorials that help developers build certain aspects of the project or an example similar to it.
The tests mostly cover the golden paths, i.e. users getting steps right or triggering a message step. There's lots of untested code. It can be found pretty easily by running tests with coverage. Some stuff is tested by test_frontend but that's slow and more difficult to measure coverage for so we should have pure Python/Django tests for it. I'm particularly interested in the edge cases of bad code
Repository of code and resources related to different data science and machine learning topics. For learning, practice and teaching purposes.
Add tutorial for Docker Networking
Dans le chapitre 2, est écrit :
La compilation manuelle est également intéressante pour régler plus finement
certains aspects de Node : (…) le modulehttp/2
C'est pas sûr que le module doit être compilé depuis Node v10.
Go Tutorials - Let's get our hands really dirty by writing a lot of Golang code
Was going to do this in the MVP. But honestly, I know nothing about Emscripten
Thus, I think I will go ahead, launch, and get the hype going, and then teach myself emscripten to make the demos
我的强化学习笔记和学习材料
A growing collection of text/image cards you can use/copy-paste in your tailwind css projects
AWS version of Kelsey's kubernetes-the-hard-way
[tutorial]A functional, Data Science focused introduction to Python
A demo to learn JWT by reverse engineering
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