mlcourse.ai VS missing-semester

Compare mlcourse.ai vs missing-semester and see what are their differences.

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mlcourse.ai missing-semester
85 375
9,400 4,704
- 1.7%
3.4 6.8
4 months ago about 2 months ago
Python CSS
GNU General Public License v3.0 or later GNU General Public License v3.0 or later
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.

mlcourse.ai

Posts with mentions or reviews of mlcourse.ai. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-25.

missing-semester

Posts with mentions or reviews of missing-semester. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-04-24.

What are some alternatives?

When comparing mlcourse.ai and missing-semester you can also consider the following projects:

attractors - Package for simulation and visualization of strange attractors.

cs-topics - My personal curriculum covering basic CS topics. This might be useful for self-taught developers... A work in development! This might take a very long time to get finished!

napari - napari: a fast, interactive, multi-dimensional image viewer for python

computer-science - :mortar_board: Path to a free self-taught education in Computer Science!

concrete-numpy - Concrete-Numpy: A library to turn programs into their homomorphic equivalent.

CS50x-2021 - 🎓 HarvardX: CS50 Introduction to Computer Science (CS50x)

GreyNSights - Privacy-Preserving Data Analysis using Pandas

vimrc - The ultimate Vim configuration (vimrc)

hiitpi - A workout trainer Dash/Flask app that helps track your HIIT workouts by analyzing real-time video streaming from your sweet Pi using machine learning and Edge TPU..

javascript - JavaScript Style Guide

quaternion - Add built-in support for quaternions to numpy

materials - Bonus materials, exercises, and example projects for our Python tutorials