IE7275 — Machine Learning and Data Analytics: Reviews & Ratings

IE7275 (Machine Learning and Data Analytics) course reviews and ratings at Northeastern (NEU). Average rating 2.5/5. Compare professors with RateMyProfessor reviews.

Covers the theory and applications of data mining in engineering. Reviews fundamentals and key concepts of data mining, discusses important data mining techniques, and presents algorithms for implementing these techniques. Specifically covers data mining techniques for data preprocessing, association rule extraction, classification, prediction, clustering, and complex data exploration. Discusses data mining applications in several areas, including manufacturing, healthcare, medicine, business, and other service sectors.

Average rating

2.5/5

Difficulty

3.5/5

Ratings

14

Last taught

Fall 2026

Credits

4 Hours

Prerequisites

CS 5800 with a minimum grade of C or EECE 7205 with a minimum grade of C or IE 5374 with a minimum grade of C or IE 5374 with a minimum grade of D or IE 6200 with a minimum grade of C or IE 6400 with a minimum grade of C or MATH 7241 with a minimum grade of C

Professors

• Chun-An Chou
• Sagar Kamarthi
• Xubo Yue
• Xumein Jin

Data updated October 2026.

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