awesome-python-data-science
100-Days-Of-ML-Code
awesome-python-data-science | 100-Days-Of-ML-Code | |
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2 | 3 | |
2,322 | 43,337 | |
- | - | |
7.6 | 0.0 | |
24 days ago | 4 months ago | |
Creative Commons Attribution 4.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
awesome-python-data-science
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?
awesome-bigdata - A curated list of awesome big data frameworks, ressources and other awesomeness.
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:
chrisalbon_com - Code for ChrisAlbon.com
machine_learning_basics - Plain python implementations of basic machine learning algorithms
Blazor-MachineIntelligence - Centralized repository of my Blazor apps with Machine Intelligence (Statistics, Analytics, Machine Learning, AI, Information Retrieval etc.). This repository will coalesce all of my Machine Intelligence repos in a single area and point to their respective: live demo, source code, video & presentation locations.
Data-science-best-resources - Carefully curated resource links for data science in one place
streamlit - Streamlit — A faster way to build and share data apps.
machine-learning-for-software-engineers - A complete daily plan for studying to become a machine learning engineer.
Awesome-Out-Of-Distribution-Detection - A professionally curated list of papers, tutorials, books, videos, articles and open-source libraries etc for Out-of-distribution detection, robustness, and generalization
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.)
machine-learning-resources - A curated list of awesome machine learning frameworks, libraries, courses, books and many more.
100DaysOfCode - A GitHub Repo for my #100DaysOfCode challenge projects