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add relevant links to "Learning / Cheat Sheets"
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* [minitorch](https://github.com/minitorch/minitorch) - Machine Learning Engineering Course Code
* [Approaching (Almost) Any Machine Learning Problem](https://github.com/abhishekkrthakur/approachingalmost/blob/master/AAAMLP.pdf) - Machine Learning Problem Solving Book
* [ML-Youtube-Courses](https://github.com/dair-ai/ML-YouTube-Courses) - Machine Learning Courses on YouTube
* [SmartHomeBeginner](https://www.smarthomebeginner.com/) - Homelabbing for Beginners
* [Git-it](https://github.com/jlord/git-it-electron) - (Mac, Win, Linux) Desktop App for Learning Git and GitHub
* [Google Cloud Developer's Cheat Sheet](https://googlecloudcheatsheet.withgoogle.com/) - The Google Cloud Developer's Cheat Sheet / [GitHub](https://github.com/priyankavergadia/google-cloud-4-words)
* [Virgilio](https://virgili0.github.io/Virgilio/) - Your new Mentor for Data Science E-Learning / [GitHub](https://github.com/virgili0/Virgilio)
* [system-design-primer](https://github.com/donnemartin/system-design-primer) - Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
* [System Design](https://leanpub.com/systemdesign) - Learn how to design systems at scale and prepare for system design interviews / [GitHub](https://github.com/karanpratapsingh/system-design)
* [SmartHomeBeginner](http://git.io/sheet) - A collection of cool hidden and not so hidden features of Git and GitHub / [GitHub](https://github.com/tiimgreen/github-cheat-sheet)
***