Manchester
Coll of Professional Studies :: Analytics
DATA 822 (M1) - Data Mining and Predictive Modeling
Data Mining & Pred Modeling
Online Course Delivery Method: Online Asynchronous
Credits: 3.0
Term: Fall 2024 - Term 2 (10/28/2024 - 12/20/2024)
Grade Mode: Letter Grading
Term: Fall 2024 - Term 2 (10/28/2024 - 12/20/2024)
Grade Mode: Letter Grading
Class Size:
20
CRN: 13443
CRN: 13443
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.
Prerequisite(s): DATA 800 with minimum grade of B- and DATA 820 with minimum grade of B- and DATA 821 with minimum grade of B- May be taken concurrently
Mutual Exclusion : ADMN 872
Only listed majors in section: ANALYT DS CERT, ANALYT DS CERT
Instructors: Bogdan Gadidov
| Start Date | End Date | Days | Time | Location |
|---|---|---|---|---|
| 10/28/2024 | 12/20/2024 | Hours Arranged | ONLINE |