ExcelsiorCJH/Hands-On-ML
Hands-On Machine Learning
This resource helps individuals understand and implement various machine learning and deep learning techniques. It takes complex theoretical concepts and provides practical, step-by-step guidance, translating into functional models. Data scientists, machine learning engineers, and researchers can use this to learn how to build predictive systems, classification tools, and more advanced neural networks.
102 stars. No commits in the last 6 months.
Use this if you are a data scientist or machine learning engineer looking for a hands-on guide to building and deploying machine learning and deep learning models using popular frameworks.
Not ideal if you are looking for a high-level conceptual overview without diving into code and practical implementation details.
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102
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84
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Jupyter Notebook
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Last pushed
Mar 19, 2022
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