SilenceX12138/Machine-Learning-Theory-and-Application
Practical and Real-world applications of ML based on the homework of Hung-yi Lee Machine Learning Course 2021
This project provides practical coding examples to apply various machine learning methods to real-world problems. It takes diverse datasets, like COVID-19 case numbers, speech recordings, or images, and processes them to generate predictions, classifications, or even new content. It's intended for students or practitioners who want to bridge the gap between theoretical machine learning knowledge and hands-on implementation.
No commits in the last 6 months.
Use this if you are studying machine learning and want to see how different algorithms are coded and applied to solve specific problems like predicting cases, classifying images, or translating text.
Not ideal if you are looking for in-depth theoretical explanations or a ready-to-use application without needing to engage with the underlying code.
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Jupyter Notebook
License
MIT
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Last pushed
Oct 17, 2021
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