DATA 822 (1ON) - Data Mining and Predictive Modeling

Data Mining & Pred Modeling

Durham   Graduate School > Analytics
Credits: 3.0
Term: Spring 2020 - E-term IV (03/16/2020 - 05/07/2020)
Class Size:   30  
CRN: 54191
In this class, students will learn foundations of practical machine learning: upon completion, students will be able to understand and apply supervised and unsupervised learning in Python to build predictive models on real world datasets. Techniques covered include (but not limited to): preprocessing, dimensionality reduction, clustering, feature engineering and model evaluation. Models covered include: generalized linear models, tree-based models, bayesian models, support vector machines, and neural networks. All learning objectives are achieved through active application of these techniques to real world datasets. Prereq: DATA 800; DATA 820 Pre- or Coreq: DATA 821.
Mutual Exclusion : ADMN 872
Only listed majors in section: ANALYT DS CERT, ANALYTICS CERT
Attributes: Online (no campus visits), EUNH
Instructors: Bogdan Gadidov

Times & Locations

Start Date End Date Days Time Location
3/16/2020 5/7/2020 Hours Arranged ONLINE