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UMBC, USMx: Supervised LearningUMBC, USMx: Supervised Learning

UMBC, USMx: Supervised Learning

Learn how to build supervised learning models using Python and Sklearn (Sci-Learn). This course includes the most popular supervised learning models, including K-Nearest Neighbor (KNN), Support Vector Machines (SVM), Regression, Random Forest and Decision Trees. With Sklearn and Python all of these models can be quickly created using just a few lines of code.

There is one session available:

After a course session ends, it will be archived.

Starts Feb 12