the-mrinal/ML-Notebook
Comprehensive ML curriculum: from NumPy to Neural Networks. 50+ Jupyter notebooks with from-scratch implementations and real-world projects.
This project offers a practical, step-by-step curriculum for learning machine learning and deep learning concepts. It provides over 50 interactive Jupyter notebooks with clear explanations and hands-on code for various algorithms. The notebooks cover topics from basic data manipulation to advanced neural networks, using real-world datasets, and are ideal for aspiring data scientists, analysts, and ML engineers who want to build foundational skills.
Use this if you are a student or professional eager to learn machine learning from scratch, understand how algorithms work under the hood, and apply them to practical problems using popular tools like Python, scikit-learn, and TensorFlow.
Not ideal if you are an experienced machine learning practitioner looking for advanced research, bleeding-edge models, or a production-ready deployment framework rather than a learning resource.
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26
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21
Language
Jupyter Notebook
License
MIT
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Last pushed
Feb 28, 2026
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