

-
*Learn Machine Learning with these amazing GitHub repositories! *
1⃣ [ML for Beginners](https://github.com/microsoft/ML-For-Beginners) by Microsoft
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CodeRabbit
CodeRabbit: AI Code Reviews for Developers. Revolutionize your code reviews with AI. CodeRabbit offers PR summaries, code walkthroughs, 1-click suggestions, and AST-based analysis. Boost productivity and code quality across all major languages with each PR.
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2⃣ [100 Days of ML Code](https://github.com/Avik-Jain/100-Days-Of-ML-Code) by Avik Jain
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ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
3⃣ [ML From Scratch](https://github.com/eriklindernoren/ML-From-Scratch) by Erik Linder-Noren
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handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
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awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
5⃣ [Awesome Machine Learning](https://github.com/josephmisiti/awesome-machine-learning) by Joseph Misiti
Save & Share for quick access!
#MachineLearning #GitHub #AI #LearnML
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Nutrient
Nutrient – The #1 PDF SDK Library, trusted by 10K+ developers. Other PDF SDKs promise a lot - then break. Laggy scrolling, poor mobile UX, tons of bugs, and lack of support cost you endless frustrations. Nutrient’s SDK handles billion-page workloads - so you don’t have to debug PDFs. Used by ~1 billion end users in more than 150 different countries.
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