eli5
ML-For-Beginners
eli5 | ML-For-Beginners | |
---|---|---|
1 | 28 | |
2,730 | 67,033 | |
0.8% | 2.6% | |
0.0 | 7.6 | |
about 2 years ago | 4 days ago | |
Jupyter Notebook | 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.
eli5
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How to extract keywords important to a text classification problem?
https://github.com/TeamHG-Memex/eli5 can help you.
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?
lime - Lime: Explaining the predictions of any machine learning classifier
FLAML - A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
linear-tree - A python library to build Model Trees with Linear Models at the leaves.
lego-mindstorms - My LEGO MINDSTORMS projects (using set 51515 electronics)
ML-Workspace - 🛠All-in-one web-based IDE specialized for machine learning and data science.
pycaret - An open-source, low-code machine learning library in Python
course-nlp - A Code-First Introduction to NLP course
Data-Science-For-Beginners - 10 Weeks, 20 Lessons, Data Science for All!
graph_summarizer - summarize text using graphs and language vector models
pyVHR - Python framework for Virtual Heart Rate
CodeSearchNet - Datasets, tools, and benchmarks for representation learning of code.
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]