SDS 336
Practical Machine Learning
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 networks. The equivalent of three lecture hours a week for one semester.
Prerequisites & course information
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 networks. The equivalent of three lecture hours a week for one semester.
Sources
- Course catalogue ↗2026-2027