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machine_learning_basics
zotroneneis/machine_learning_basics
Plain python implementations of basic machine learning algorithms
★4.4kstars
Jupyter Notebook
MIT
Updated: 6d ago
📋 Project at a Glance
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What's this?Learning & Resources project leveraging algorithm and ipynb, built with Jupyter Notebook, open-source
Who made it?Maintained by zotroneneis team, 4.4K⭐ on GitHub, #493 out of 3640 in Learning & Resources
Why does it exist?As the Learning & Resources landscape evolved, the zotroneneis team identified the need for better algorithm solutions. machine_learning_basics was created to simplify ipynb workflows.
What can it do?Key use cases: k-nearest-neighbor, k-nearest-neighbours, k-nn
How to install with AI?Use an AI coding assistant to follow the README and automatically handle the install and environment setup.
🔗 github.com/zotroneneis/machine_learning_basics
🔗 github.com/zotroneneis/machine_learning_basics
Topics
algorithmipynbk-nearest-neighbork-nearest-neighboursk-nnkmeanslinear-regressionlogistic-regressionmachine-learningmachine-learning-algorithmsneural-networkneural-networksperceptronpythonpython-implementationspython3