DATA-3230 — Machine Learning

3 credits · 3 hours

Explore the foundational principles of machine learning through hands-on applications of predictive and classification algorithms. Learn data preprocessing techniques to enhance model performance, build and evaluate regression and classification models, and fine-tune them for optimal results. Additionally, explore unsupervised machine learning techniques.

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