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SDS 336 SDS 336. Practical Machine Learning. 3 Hours.

Introduction to machine learning for data science with an emphasis on Python programming. Explore comparing algorithm performance; decision-tree algorithms; classification algorithms; model averaging; unsupervised learning; and neural network. The equivalent of three lecture hours a week for one semester. Prerequisite: Statistics and Data Sciences 334 with a grade of at least C-; and Computer Science 327E with a grade of at least C-.

Bachelor of Science in Biology



...Sciences 401 or 303 , SDS 324E or 322E...330 , BIO 335 , BIO 336 , BIO 355 , BIO...

Bachelor of Science in Statistics and Data Science



...Statistics and Data Science (SDS) provides students with...Statistics and Data Sciences 336 , Practical Machine Learning...