Data Science 561:

Predictive Analytics (3.0 units)

Analytics for supervised and unsupervised statistical learning. Generalized linear models, discriminant analysis, support vector machines. Nonparametric classification, trees, ensemble methods, k-nearest neighbors. Principal components, clustering.
  • Crosslist: This course is offered by the ISE department but may qualify for major credit in DSCI. To register, enroll in ISE 529.
31726D048Lecture5:00-7:50pmTuesday17 of 19Cesar Acosta-MejiaSOSB2PDF (312836 KB)feesession dates
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31772D073Lecture11:00-2:00pmFriday51 of 54Cesar Acosta-MejiaONLINEPDF (311088 KB)feesession dates
Information accurate as of September 23, 2020 1:00 pm.
The Fall 2020 semester will begin with fully remote instruction, with limited exceptions for clinical education. Faculty will contact students to provide information to login to classes. Read more.