similarity_measures
ML-For-Beginners
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similarity_measures | ML-For-Beginners | |
---|---|---|
2 | 28 | |
236 | 66,908 | |
- | 3.5% | |
5.4 | 7.6 | |
5 months ago | 18 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.
similarity_measures
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What exactly is Partial Curve Mapping?
The Python Implementation can be found here: https://github.com/cjekel/similarity_measures/blob/master/similaritymeasures/similaritymeasures.py
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Anyone here use the Similaritymeasures library? Why is a 2D array required?
According to the documentation the function takes two arguments (exp_data and num_data ) for the data set, which makes sense. What doesn't make sense is:
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?
FLAML - A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
lego-mindstorms - My LEGO MINDSTORMS projects (using set 51515 electronics)
pycaret - An open-source, low-code machine learning library in Python
Data-Science-For-Beginners - 10 Weeks, 20 Lessons, Data Science for All!
pyVHR - Python framework for Virtual Heart Rate
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]
amazon-denseclus - Clustering for mixed-type data
rmi - A learned index structure
ai-seed - 1000+ ready code templates to kickstart your next AI experiment
ML-Workspace - 🛠All-in-one web-based IDE specialized for machine learning and data science.
996.ICU - Repo for counting stars and contributing. Press F to pay respect to glorious developers.
TheAlgorithms - All Algorithms implemented in Python