Bowen1911/ML_practice
机器学习笔记本 Mechine Learning notebook
This collection of notes and examples helps machine learning practitioners learn and apply common techniques. It provides practical demonstrations and code examples based on popular frameworks like TensorFlow, Keras, and PyTorch, helping you understand how to implement various machine learning and reinforcement learning algorithms. Data scientists, machine learning engineers, and students looking to solidify their understanding through hands-on practice would find this useful.
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Use this if you are learning machine learning or reinforcement learning and want to see practical code implementations of algorithms.
Not ideal if you are looking for a finished application, a complex system to deploy, or advanced research in machine learning.
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Jupyter Notebook
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GPL-3.0
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Last pushed
Apr 24, 2025
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