100-Days-Of-ML-Code
coding-interview-university
100-Days-Of-ML-Code | coding-interview-university | |
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4 | 137 | |
43,337 | 290,868 | |
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0.0 | 8.4 | |
4 months ago | 4 days ago | |
MIT License | Creative Commons Attribution Share Alike 4.0 |
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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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β¨ 5 Best GitHub Repositories to Learn Machine Learning in 2022 for Free π―
1οΈβ£ 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
coding-interview-university
- A-Z computer science study plan to become a software engineer
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10 GitHub repositories that every developer must follow
β jwasham/coding-interview-university : https://github.com/jwasham/coding-interview-university
- 18 Must-Bookmark GitHub Repositories Every Developer Should Know
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Top 10 GitHub Repositories Every Developer Should Bookmark in 2024
4) Coding Interview University: Conquer the dreaded coding interview with this battle-tested arsenal of algorithms, data structures, and interview prep strategies. Sharpen your problem-solving skills, optimize your coding efficiency, and ace those technical assessments with this invaluable resource. (https://github.com/jwasham/coding-interview-university)
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The Top 10 GitHub Repositories Making Waves ππ
View on GitHub
- Need a clear roadmap.
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I need some high quality advice from you
I stumbled upon a github post called coding interview university and with the shiny object syndrome I have, I kinda want to ditch the roadmaps and start something new like this one in github, or the random dude I found in YouTube, telling his audience that he passed the FAANG interviews. The annoying part of me is that whenever I hear stuff like βI passed the FAANGβ, I will immediately try to follow their path because their method works for them or to some other people
- Ask HN: Which school produces the best programmers or software engineers?
- Anyone Know resources like (The Odin Project or FullStack open ) but for DSA.
- Why is it so hard to find a tech job in Vancouver?
What are some alternatives?
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:
free-programming-books - :books: Freely available programming books
machine_learning_basics - Plain python implementations of basic machine learning algorithms
computer-science - :mortar_board: Path to a free self-taught education in Computer Science!
Data-science-best-resources - Carefully curated resource links for data science in one place
awesome-cheatsheets - π©βπ»π¨βπ» Awesome cheatsheets for popular programming languages, frameworks and development tools. They include everything you should know in one single file.
machine-learning-for-software-engineers - A complete daily plan for studying to become a machine learning engineer.
tech-interview-handbook - π― Curated coding interview preparation materials for busy software engineers
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.)
awesome-interview-questions - :octocat: A curated awesome list of lists of interview questions. Feel free to contribute! :mortar_board:
100DaysOfCode - A GitHub Repo for my #100DaysOfCode challenge projects
mega-interview-guide - The MEGA interview guide, JavaSciript, Front End, Comp Sci