ncku-yee/ML2022
NTU Machine Learning 2022 Spring
This collection provides practical code examples for various machine learning tasks, offering solutions for problems like predicting COVID-19 cases, classifying audio (MFCC), identifying speakers, translating languages, and generating images. It takes raw data such as COVID-19 statistics, audio recordings, images, or text and demonstrates how to process it to produce predictions, classifications, or generated content. This resource is designed for students or researchers who want to learn how different machine learning models are applied to real-world datasets.
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Use this if you are a student or researcher looking for practical, implemented examples of machine learning algorithms to solve common prediction, classification, or generation problems.
Not ideal if you are looking for a ready-to-use application or an advanced framework for production-level machine learning deployments.
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Apr 03, 2023
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