Machine Learning II

Catalog description

Machine learning including Scikit-learn techniques and algorithms; clas- sifi cation and regression modeling, cross validation, hyperparameter tuning, overfi tting and underfi tting, supervised learning methods (linear models, polynomial regression, regularization, support vector machines, decision trees and random forests), and unsupervised learning algo- rithms (clustering, density estimation, and anomaly detection).