STAT-4654: Intermediate Data Analytics and Machine Learning

Description: A technical analytics course. Covers supervised and unsupervised learning strategies, including regression, generalized linear models, regularization, dimension reduction methods, tree-based methods for classification, and clustering. Upper-level analytical methods shown in practice: e.g., advanced naive Bayes and neural networks.

Pathways: N/A

Course Hours: 3 credits

Prerequisites: (CMDA-3654 or CS-3654 or STAT-3654) and (CMDA-2006 or STAT-3104 or STAT-4106 or STAT-4706)

Required By: CMDA-4274 , STAT-4274 , STAT-4744

Corequisites: N/A

Crosslist: CMDA-4654, CS-4654

Repeatability: N/A

Last 3 Years

Last 5 Years

Last 10 Years

All

Sections Taught: 1

Average GPA: 4.00 (rounds to A)

Strict A Rate (No A-) : 100.00%

Average Withdrawal Rate: 0.00%


Jyotishka Datta	2022	100.0%	0.0%	0.0%	0.0%	0.0%	0.0%	4.00	1

STAT-4654: Intermediate Data Analytics and Machine Learning

Grade Distribution Over Time