100-Days-Of-ML-Code VS 30-Days-Of-Python

Compare 100-Days-Of-ML-Code vs 30-Days-Of-Python and see what are their differences.

30-Days-Of-Python

30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw (by Asabeneh)
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100-Days-Of-ML-Code 30-Days-Of-Python
4 67
43,599 32,404
- -
0.0 1.8
5 months ago 3 days ago
Python
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 2024-05-03.

30-Days-Of-Python

Posts with mentions or reviews of 30-Days-Of-Python. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-05-03.

What are some alternatives?

When comparing 100-Days-Of-ML-Code and 30-Days-Of-Python 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:

Python-for-Everyone - A step by step guide to learn Python Programming

machine_learning_basics - Plain python implementations of basic machine learning algorithms

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

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

fastbook - The fastai book, published as Jupyter Notebooks

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

Scrape-Websites-with-Python-FastAPI-Celery-NoSQL - Learn how to scrape websites with Python, Selenium, Requests HTML, Celery, FastAPI, & NoSQL with Cassandra via AstraDB.

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.)

codewars.com - Issue tracker for Codewars

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

adventofcode - Advent of Code solutions of 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022 and 2023 in Scala