awesome-datascience
machine-learning-roadmap
| awesome-datascience | machine-learning-roadmap | |
|---|---|---|
| 9 | 5 | |
| 23,777 | 7,164 | |
| 0.9% | - | |
| 6.9 | 0.0 | |
| 5 days ago | over 1 year ago | |
| MIT License | MIT License |
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
-
About Data analyst, data scientist and data engineer, resources and experiences
Awesome Data Science by Academic
-
Good coding groups for black women?
- https://github.com/academic/awesome-datascience
-
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?
-
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.
-
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
-
Top GitHub repositories to learn Data Science
Awesome Data Science
-
[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.
machine-learning-roadmap
-
Best AI ML DL DS Roadmap
**[Mrdbourke/machine-learning-roadmap on GitHub](https://github.com/mrdbourke/machine-learning-roadmap)**: This GitHub repository is more focused on machine learning. It's a good choice if you're looking for a more community-driven approach, as GitHub repositories often encourage contributions and updates from various experts.
-
[D] Best AI ML DL DS Roadmap
Some roadmaps I have found: - [roadmap.sh] AI and Data Scientist Roadmap ← Best? - [i.am.ai] AI Expert Roadmap - [github.com] mrdbourke/machine-learning-roadmap - [github.com] luspr/awesome-ml-courses - [rentry.org] Machine Learning Roadmap
-
100+ Must Know Github Repositories For Any Programmer
7. Machine Learning Roadmap
- Where can I start?
-
Machine Learning Roadmap
Original article here: https://github.com/mrdbourke/machine-learning-roadmap
What are some alternatives?
Awesome-VAEs - A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
applied-ml - 📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
gdelt
stanford-cs-229-machine-learning - VIP cheatsheets for Stanford's CS 229 Machine Learning
vagas-junior-estagio - Empresas que constantemente oferecem vagas para junior e estagiários sem exigir experiência prévia
interviews.ai - It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.
DataScienceResources - Open Source Data Science Resources.
yt-channels-DS-AI-ML-CS - A comprehensive list of 180+ YouTube Channels for Data Science, Data Engineering, Machine Learning, Deep learning, Computer Science, programming, software engineering, etc.
data-science-blogs - A curated list of data science blogs
Hello-Kaggle - For someone who is new at Kaggle
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.
Knet.jl - Koç University deep learning framework.