tsvlgd/MLE
Machine Learning Engineering from First Principles
This collection helps you understand and build machine learning models from the ground up. It takes raw data and provides well-explained implementations of algorithms like regression and neural networks, helping you create predictive models. It's for anyone learning or refining their skills in machine learning engineering, from students to aspiring data scientists.
Use this if you want to learn how machine learning algorithms work internally and build them yourself, rather than just using pre-built libraries.
Not ideal if you're looking for a plug-and-play solution for immediate real-world problem-solving without needing to understand the underlying code.
Stars
17
Forks
4
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Feb 22, 2026
Commits (30d)
0
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