machine_learning_basics
Plain python implementations of basic machine learning algorithms
Learn basic machine learning algorithms by implementing them from scratch in Python without any libraries.
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machine_learning_basics has 4.4k stars on GitHub. It has been forked 835 times. machine_learning_basics is written mainly in Jupyter Notebook. It has been in active development since 2018. machine_learning_basics is available under the MIT license. Its main topics are algorithm, ipynb, k-nearest-neighbor, k-nearest-neighbours.
What is machine_learning_basics?
Plain python implementations of basic machine learning algorithms
Is machine_learning_basics open source?
machine_learning_basics is an open-source project. It is released under the MIT license.
Is machine_learning_basics free?
Yes. machine_learning_basics is free and open source — you can use, modify and self-host it.
What license does machine_learning_basics use?
machine_learning_basics is available under the MIT license.
What language is machine_learning_basics written in?
machine_learning_basics is written mainly in Jupyter Notebook.
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