awesome-python-data-science VS 100-Days-Of-ML-Code

Compare awesome-python-data-science vs 100-Days-Of-ML-Code and see what are their differences.

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awesome-python-data-science 100-Days-Of-ML-Code
2 3
2,322 43,337
- -
7.6 0.0
24 days ago 4 months ago
Creative Commons Attribution 4.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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

Posts with mentions or reviews of awesome-python-data-science. We have used some of these posts to build our list of alternatives and similar projects.

100-Days-Of-ML-Code

Posts with mentions or reviews of 100-Days-Of-ML-Code. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-02-07.

What are some alternatives?

When comparing awesome-python-data-science and 100-Days-Of-ML-Code you can also consider the following projects:

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