teaching
Course materials, schedules, and resources for classes taught.
This page displays a collection of courses with detailed schedules, materials, and resources. You can organize your courses by years, terms, or topics.
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2026
Introduction to Machine Learning
This course provides an introduction to machine learning concepts, algorithms, and applications. Students will learn about supervised and unsupervised learning, model evaluation, and practical implementations.
Data Analysis and Visulaization
This course covers the foundational aspects of data science, including data collection, cleaning, analysis, and visualization. Students will learn practical skills for working with real-world datasets.