leizhang-geo/machine_learning_algorithms
A repository for recording the codes of machine learning algorithms
This is a collection of code examples that help you understand and implement foundational machine learning techniques. It provides practical Python code for common algorithms like linear regression, decision trees, and neural networks, showing how they work from basic principles. Aspiring data scientists, machine learning engineers, and students can use this to deepen their practical understanding of core ML concepts.
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Use this if you are learning machine learning and want to see how basic algorithms are coded from scratch, or how to implement them using popular libraries like scikit-learn and TensorFlow.
Not ideal if you are looking for a plug-and-play solution to immediately apply advanced machine learning models to complex, real-world datasets without understanding the underlying code.
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5
Language
Python
License
Apache-2.0
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Last pushed
Jul 25, 2022
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