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.
SectionSessionTypeTimeDaysRegisteredInstructorLocationSyllabusInfo
31529D048Lecture3:30-6:20pmMonday40 of 45Cesar Acosta-MejiaOHE100CPDF (309372 KB)session dates
31546D048Lecture11:00-12:20pmTue, Thu73 of 75Bruce WilcoxZHS352PDF (341560 KB)session dates
31726D048Lecture5:00-7:50pmThursday88 of 90Cesar Acosta-MejiaSLH100PDF (309216 KB)session dates
31729D034Lecture3:30-6:20pmMonday9 of 40Cesar Acosta-MejiaDEN@ViterbiPDF (309372 KB)session dates
Information accurate as of February 15, 2023 7:45 am.
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