Learn about key classification algorithms including K-Nearest Neighbors (KNN), Decision Trees, Random Forests, and Neural Networks in this comprehensive university lecture from the Foundations of Data Analysis series. Explore the fundamental concepts, implementation approaches, and practical applications of these essential machine learning techniques for solving classification problems in data science.
Classification Methods: KNN, Decision Trees, and Neural Networks - Lecture 28
Overview
Syllabus
FoDA F22 Lecture 28
Taught by
UofU Data Science
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