Machine-Learning-Tutorials VS ML-For-Beginners

Compare Machine-Learning-Tutorials vs ML-For-Beginners and see what are their differences.

Machine-Learning-Tutorials

machine learning and deep learning tutorials, articles and other resources (by ujjwalkarn)
deep-learning-tutorial Machine Learning Machinelearning Deeplearning neural-network neural-networks deep-neural-networks awesome-list Awesome List Deep Learning
Source Code
ujjwalkarn.github.io
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ML-For-Beginners

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all (by microsoft)
ML Data Science Machine Learning machine-learning-algorithms Machinelearning Python machinelearning-python scikit-learn scikit-learn-python R Education
Source Code
microsoft.github.io
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Machine-Learning-Tutorials ML-For-Beginners
3 28
14,870 67,033
- 2.6%
0.0 7.6
about 1 month ago 6 days ago
HTML
Creative Commons Zero v1.0 Universal MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

Machine-Learning-Tutorials

Posts with mentions or reviews of Machine-Learning-Tutorials. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-25.

ML-For-Beginners

Posts with mentions or reviews of ML-For-Beginners. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-01-13.

What are some alternatives?

When comparing Machine-Learning-Tutorials and ML-For-Beginners you can also consider the following projects:

awesome-conformal-prediction - A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.

FLAML - A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

Gorgonia - Gorgonia is a library that helps facilitate machine learning in Go.

lego-mindstorms - My LEGO MINDSTORMS projects (using set 51515 electronics)

awesome-ai-in-finance - 🔬 A curated list of awesome LLMs & deep learning strategies & tools in financial market.

pycaret - An open-source, low-code machine learning library in Python

Awesome-Quant-Machine-Learning-Trading - Quant/Algorithm trading resources with an emphasis on Machine Learning

Data-Science-For-Beginners - 10 Weeks, 20 Lessons, Data Science for All!

mit-deep-learning-book-pdf - MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

pyVHR - Python framework for Virtual Heart Rate

ABigSurvey - A collection of 1000+ survey papers on Natural Language Processing (NLP) and Machine Learning (ML).

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]

Machine-Learning-Tutorials vs awesome-conformal-prediction ML-For-Beginners vs FLAML Machine-Learning-Tutorials vs Gorgonia ML-For-Beginners vs lego-mindstorms Machine-Learning-Tutorials vs awesome-ai-in-finance ML-For-Beginners vs pycaret Machine-Learning-Tutorials vs Awesome-Quant-Machine-Learning-Trading ML-For-Beginners vs Data-Science-For-Beginners Machine-Learning-Tutorials vs mit-deep-learning-book-pdf ML-For-Beginners vs pyVHR Machine-Learning-Tutorials vs ABigSurvey ML-For-Beginners vs S2ML-Art-Generator