homemade-machine-learning VS 100-Days-Of-ML-Code

Compare homemade-machine-learning vs 100-Days-Of-ML-Code and see what are their differences.

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homemade-machine-learning 100-Days-Of-ML-Code
7 3
22,531 43,302
- -
3.8 0.0
9 months ago 4 months ago
Jupyter Notebook
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.

homemade-machine-learning

Posts with mentions or reviews of homemade-machine-learning. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-14.

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 homemade-machine-learning and 100-Days-Of-ML-Code you can also consider the following projects:

lego-mindstorms - My LEGO MINDSTORMS projects (using set 51515 electronics)

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:

wordle-solver - For educational purposes, a simple script that assists in solving the word game Wordle.

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

PyImpetus - PyImpetus is a Markov Blanket based feature subset selection algorithm that considers features both separately and together as a group in order to provide not just the best set of features but also the best combination of features

machine_learning_basics - Plain python implementations of basic machine learning algorithms

rmi - A learned index structure

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

PythonRobotics - Python sample codes for robotics algorithms.

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.)

the-elements-of-statistical-learning - My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Friedman

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