awesome-bigdata
ML-For-Beginners
| awesome-bigdata | ML-For-Beginners | |
|---|---|---|
| 3 | 28 | |
| 12,861 | 67,497 | |
| - | 3.3% | |
| 1.0 | 6.9 | |
| 25 days ago | 3 days ago | |
| HTML | ||
| 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-bigdata
ML-For-Beginners
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Good coding groups for black women?
- https://github.com/microsoft/ML-For-Beginners
Also check out this list Pitt puts out every year:
- FLaNK Stack Weekly for 20 Nov 2023
- ML for Beginners GitHub
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is it worth learning NLP without master degree?
I don't recommend just jumping in into natural language processing directly without understanding artificial intelligence theory. I personally recommend for you to start with the basic stuff (regression, classification, and clustering, for example), and then jump into more advanced topics. You already know software developer stuff, so that's a big step already, and it should be easier to understand some concepts. Maybe follow Microsoft's machine learning for beginners curriculum? It looks like a good roadmap overall to not instantly burn out on nlp
- AI i Machine Learning
- I want to learn more about AI and Machine Learning
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Pocetak ML karijere
https://github.com/microsoft/ML-For-Beginners jel mislis na ovo?
- How could I have known
- GitHub - microsoft/ML-For-Beginners: 12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
- How do I reset my career after already getting my masters?
What are some alternatives?
tensorbase - TensorBase is a new big data warehousing with modern efforts.
FLAML - A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
NEPSE-Data-Visualizer-with-Streamlit - This is a repository to do data visualization of Nepal Stock Exchange data.
lego-mindstorms - My LEGO MINDSTORMS projects (using set 51515 electronics)
datascience - Curated list of Python resources for data science.
pycaret - An open-source, low-code machine learning library in Python
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-For-Beginners - 10 Weeks, 20 Lessons, Data Science for All!
ActivitySchema - Repository for the ActivitySchema spec and supporting materials
pyVHR - Python framework for Virtual Heart Rate
awesome-dataviz - :chart_with_upwards_trend: A curated list of awesome data visualization libraries and resources.
S2ML-Art-Generator - Multiple notebooks which allow the use of various machine learning methods to generate or modify multimedia content [Moved to: https://github.com/justin-bennington/S2ML-Generators]