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

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

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100-Days-Of-ML-Code awesome-python-data-science
3 2
43,200 2,308
- -
0.0 7.6
4 months ago 16 days ago
MIT License Creative Commons Attribution 4.0
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.

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.

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.

What are some alternatives?

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

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:

awesome-bigdata - A curated list of awesome big data frameworks, ressources and other awesomeness.

Data-science-best-resources - Carefully curated resource links for data science in one place

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.

machine-learning-for-software-engineers - A complete daily plan for studying to become a machine learning engineer.

streamlit - Streamlit — A faster way to build and share data apps.

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-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

100DaysOfCode - A GitHub Repo for my #100DaysOfCode challenge projects

machine-learning-resources - A curated list of awesome machine learning frameworks, libraries, courses, books and many more.