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
31529D048Lecture3:30-6:20pmMonday58 of 60Cesar Acosta-MejiaOHE136PDF (312733 KB)session dates
31546D048Lecture7:00-9:50pmThursday66 of 90Bruce WilcoxSLH100PDF (308287 KB)session dates
31726D048Lecture5:00-7:50pmThursday
60 of 60
Cesar Acosta-MejiaGFS101PDF (314285 KB)session dates
31731D034Lecture3:30-6:20pmMonday34 of 40Cesar Acosta-MejiaDEN@ViterbiPDF (312733 KB)session dates
Information accurate as of February 7, 2022 7:48 am.