Data-Science-Cheatsheet
A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between. (by aaronwangy)
stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning (by afshinea)
| Data-Science-Cheatsheet | stanford-cs-229-machine-learning | |
|---|---|---|
| 10 | 1 | |
| 4,501 | 16,526 | |
| - | - | |
| 0.9 | 0.0 | |
| about 1 year ago | almost 4 years ago | |
| TeX | ||
| - | 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.
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.
Data-Science-Cheatsheet
Posts with mentions or reviews of Data-Science-Cheatsheet.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-09-09.
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Starting my Data Odyssey - Need Help
As mentioned, I'm not the best person to give advice on this, but maybe you can check out a data science cheat sheet (e.g. here ), and that might help see the main "categories" of learning as well as the more important points that are in each of them.
- Cheat Sheet / Guide
- Data Science Cheat Sheet 2.0 - A 5-page data science cheatsheet by Aaron Wang
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Data Science Cheat Sheet 2.0 - A helpful 5-page data science cheatsheet to assist with exam reviews, interview prep, and anything in-between (PDF link is given in the comment section)
PDF: Data Science Cheat Sheet 2.0
- Best book to prepare for a machine learning interview
- Soon to be graduate majoring in mathematics, wanting to shift out of education - what other math careers are out there?
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[Project] I created a four-page Data Science Cheatsheet to assist with exam reviews, interview prep, and anything in-between [Cross-post from r/DataScience]
Not sure, didn't get any response from them, but you can find it here: https://github.com/aaronwangy/Data-Science-Cheatsheet
stanford-cs-229-machine-learning
Posts with mentions or reviews of stanford-cs-229-machine-learning.
We have used some of these posts to build our list of alternatives
and similar projects.
What are some alternatives?
When comparing Data-Science-Cheatsheet and stanford-cs-229-machine-learning you can also consider the following projects:
eth-summaries - Summaries and study materials I've written over the course of my studies at ETH Zurich
machine-learning-roadmap - A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.
unity-ml-agents-turret-defense - A reinforcement learning agent playing as the turret, where its goal is to allow ten friendly units to enter the base, and loses if an enemy unit has entered the base or if two friendly units were shot.
applied-ml - 📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.