There is no doubt that ML is currently most trending field in Tech Industry. ML has changed how developers think about the capabilities of a machine.

💡Did You Know?

Machine learning results depend on the Data you entered to train it

photo of girl laying left hand on white digital robot
Photo by Andy Kelly on Unsplash

Today we’re sharing 5 Best Machine Learning GitHub Repositories For Every ML Enthusiast

Let’s get starter 🏃

Source: Giphy

1. SPADE

Semantic Image Synthesis with SPADE

Semantic Image Synthesis with SPADE
GauGAN demo
Source: GitHub

You can check this GitHub repo 👉 here

2. Awesome Data Science

Dark Mode

awesome-datascience (this link opens in a new window) by academic (this link opens in a new window)

:memo: An awesome Data Science repository to learn and apply for real world problems.

📝 An awesome Data Science repository to learn and apply for real world problems.

Source: GitHub

An open source Data Science repository to learn and apply towards solving real world problems.

This is a shortcut path to start studying Data Science. Just follow the steps to answer the questions, “What is Data Science and what should I study to learn Data Science?”

You can check this GitHub repo 👉 here

3. data-scientist-roadmap

Toturial coming with “data science roadmap” graphe.

data-scientist-roadmap

I just found this data science skills roadmap, drew by Swami Chandrasekaran on his cool blog.


roadmap-picture
Source: GitHub

Jobs linked to data science are becoming more and more popular. A bunch of tutorials could easily complete this roadmap, helping whoever wants to start learning stuff about data science.

For the moment, a lot is got on wikipedia (except for codes, always handmade). Any help’s thus welcome!

You can check this GitHub repo 👉 here

4. ds-cheatsheets

List of Data Science Cheatsheets to rule the world

You can check this GitHub repo 👉 here

5. DataScienceResources

Open Source Data Science Resources.

You can check this GitHub repo 👉 here

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Conclusion

Open Source can be powerful, name a thing, it will be preferably present on GitHub.

Note: Views are expressed only from author, and not from official GitHub, for more detailed view about undertaking read 👉 Our Mission