awesome-datascience
awesome-machine-learning
| awesome-datascience | awesome-machine-learning | |
|---|---|---|
| 9 | 12 | |
| 23,777 | 63,617 | |
| 3.7% | - | |
| 6.9 | 7.6 | |
| 9 days ago | 11 days ago | |
| Python | ||
| MIT License | GNU General Public License v3.0 or later |
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.
awesome-datascience
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About Data analyst, data scientist and data engineer, resources and experiences
Awesome Data Science by Academic
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Good coding groups for black women?
- https://github.com/academic/awesome-datascience
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Mastering Data Science: Top 10 GitHub Repos You Need to Know
9. Awesome Data Science If you’re on the hunt for data science resources, Awesome Data Science is a goldmine. This curated list includes MOOCs, books, courses, blogs, podcasts, software, and more, all related to data science.
- Does anyone know of comprehensive refresher material for a once Senior Data Scientist?
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Beginner Friendly Resources to Master Artificial Intelligence and Machine Learning with Python (2022)
Awesome Data Science – The awesome lists repositories often provides a good collection of resources around a specific topic, and the awesome-datascience repository is no exception. It contains a very comprehensive list of books, moocs, tutorials, and other content for all learnes of all levels of experience.
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High income skills?
There are several on github, such as: https://github.com/academic/awesome-datascience
- ⚙️ Awesome Data Science: An #OpenSource #DataScience repository to learn and apply towards solving real world problems. h/t @Sauain
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Top GitHub repositories to learn Data Science
Awesome Data Science
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[IWantOut] 21f Peru student -> Canada/UK
If you want to expand your skills and knowledge in data science, there's a ton of free online resources out there. For example, this page is a good place to get started. There's lots of communities like /r/learndatascience or similar subs if you get stuck on something.
awesome-machine-learning
- FLaNK Stack Weekly 12 February 2024
- Good coding groups for black women?
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Recent Google layoffs and Go
Nope! Here’s a link for more info —-> https://github.com/josephmisiti/awesome-machine-learning
- A python program that adds ~700 Results to Watch Later or YouTube Playlist; or, if on Google, bookmarks or Reading List
- I want to learn more about AI and Machine Learning
- Complete beginner looking for a proper starting point
- GitHub - josephmisiti/awesome-machine-learning: A curated list of awesome Machine Learning frameworks, libraries and software.
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✨ 5 Best GitHub Repositories to Learn Machine Learning in 2022 for Free 💯
2️⃣ Awesome Machine Learning
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How to Use the Maven Shade Plugin if Your Project Uses Java Platform Module System
Chips-n-Salsa
- How can I get into AI development?
What are some alternatives?
Awesome-VAEs - A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
tails - This is the Tails composer package for Laravel. Easily fetch designs in your Laravel application that you design inside of the Tails Site/Page Builder.
gdelt
DALLE-mtf - Open-AI's DALL-E for large scale training in mesh-tensorflow.
vagas-junior-estagio - Empresas que constantemente oferecem vagas para junior e estagiários sem exigir experiência prévia
100-Days-Of-ML-Code - 100 Days of ML Coding
DataScienceResources - Open Source Data Science Resources.
Machine-Learning-Algorithms - All Machine Learning Algorithms
data-science-blogs - A curated list of data science blogs
500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code - 500 AI Machine learning Deep learning Computer vision NLP Projects with code
ScribeSalad - A collection of YouTube videos transcripts : Podcasts (Joe Rogan Experience, Tim Ferris, Jocko podcast, ..), lectures (YaleCourses, MIT lectures, Jordan B. Peterson talks, ..). A big transcripts salad spanning history, geography, science, politics, film making and more.
Face-Recognition-One-Shot-Learning- - This project is based on Siamese Neural Networks & Triplet Loss Functions