git-workshop
100-Days-Of-ML-Code
| git-workshop | 100-Days-Of-ML-Code | |
|---|---|---|
| 1 | 4 | |
| 8 | 44,493 | |
| - | - | |
| 8.2 | 0.0 | |
| about 1 year ago | 9 months ago | |
| Apache License 2.0 | MIT License |
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git-workshop
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A beginner's guide to Git version control
I have contradictory feelings regarding git. For more than ten years, I was using it daily without really understanding the internals... and I was often confused and frustrated. After investing some time learning how the Directed Acyclic Graph works, suddenly everything made much more sense.
And, yes: it is good to learn the underlying fundamentals of the technology we are using. But, on the other hand, it denotes a rather poor abstraction from the UX point of view, imho.
Now, when I deliver git training, I start by explaining the DAG and how there is no magic, only git. By the way, the notes and exercises of the course are in my GitHub account[1], feel free to check it out if you think it can be useful.
[1] https://github.com/ciberado/git-workshop (https://ciberado.github.io/git-workshop/)
100-Days-Of-ML-Code
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Top 10 GitHub Repositories for Python and Java Developers
5. Avik-Jain/100-Days-Of-ML-Code - As the name implies, this repository offers a structured approach to learning machine learning with Python. It covers core ML principles and algorithms through real-world applications. https://github.com/Avik-Jain/100-Days-Of-ML-Code
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Top 10 GitHub Repositories Every Developer Should Bookmark in 2024
2) 100 Days of ML Code: Embark on a 100-day journey into the fascinating world of machine learning with this structured curriculum. Packed with bite-sized coding challenges and real-world projects, this repository will transform you from a coding novice to a confident ML enthusiast. (https://github.com/Avik-Jain/100-Days-Of-ML-Code)
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✨ 5 Best GitHub Repositories to Learn Machine Learning in 2022 for Free 💯
1️⃣ 100 Days Of ML Code
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The Ultimate Resource Guide for Your Next 100 Days of Code
ML: 100-Days-Of-ML-Code
What are some alternatives?
project-based-learning - Curated list of project-based tutorials [Moved to: https://github.com/practical-tutorials/project-based-learning]
100DaysofMLCode - My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge. Now supported by bright developers adding their learnings :+1:
first-timers - Complete your first open-source contribution! 🚀
machine_learning_basics - Plain python implementations of basic machine learning algorithms
jj - A Git-compatible VCS that is both simple and powerful
Data-science-best-resources - Carefully curated resource links for data science in one place
project-based-learning - Curated list of project-based tutorials
machine-learning-for-software-engineers - A complete daily plan for studying to become a machine learning engineer.
nitter - Alternative Twitter front-end
PANDAS-TUTORIAL - Jupyter Notebooks and Data Sets for Pandas Library
dive-into-machine-learning - Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. (First posted in 2016.)
100DaysOfCode - A GitHub Repo for my #100DaysOfCode challenge projects