100-Days-Of-ML-Code VS Data-science-best-resources

Compare 100-Days-Of-ML-Code vs Data-science-best-resources and see what are their differences.

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100-Days-Of-ML-Code Data-science-best-resources
3 2
43,337 2,762
- -
0.0 0.0
4 months ago 4 months ago
MIT License 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.

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.

Data-science-best-resources

Posts with mentions or reviews of Data-science-best-resources. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-08-13.

What are some alternatives?

When comparing 100-Days-Of-ML-Code and Data-science-best-resources 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:

manjaro-linux - Shell scripts for setting up Manjaro Linux for Python programming and deep learning

machine_learning_basics - Plain python implementations of basic machine learning algorithms

cheat-sheet-pdf - 📜 A Cheat-Sheet Collection from the WWW

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

free-data-science-books - Free resources for learning data science

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.)

IntRo - Introduction to R for health data

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

looper - A resource list for causality in statistics, data science and physics

awesome-python-data-science - Probably the best curated list of data science software in Python.

data-science-blogs - A curated list of data science blogs