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Search Results
| Name | Grades | Rating | |||
|---|---|---|---|---|---|
MIS 6341 (Overall) | |||||
A- | |||||
MIS 6341 Ziyi Cao | |||||
Not teaching in Spring 2026 | |||||
MIS 6341 Hossein Kamalzadeh | |||||
MIS 6341 Vijay Koju | |||||
MIS 6341 Rajin Koonjbearry | |||||
MIS 6341 Zixuan Meng | |||||
A- | |||||
MIS 6341 Jason Parker | |||||
MIS 6341 Muhammad Sabir | |||||
MIS 6341 Waseem Shadid | |||||
MIS 6341 Harpreet Singh | |||||
MIS 6341 Uri Smashnov | |||||
B+ | |||||
MIS 6341 Nassim Sohaee | |||||
A- | |||||
MIS 6341 Shaojie Tang | |||||
MIS 6341 Lidong Wu | |||||
MIS 6341 Amir Zemoodeh | |||||
Search Results
| Name | Grades | Rating | |||
|---|---|---|---|---|---|
MIS 6341 (Overall) | |||||
A- | |||||
MIS 6341 Ziyi Cao | |||||
Not teaching in Spring 2026 | |||||
MIS 6341 Hossein Kamalzadeh | |||||
MIS 6341 Vijay Koju | |||||
MIS 6341 Rajin Koonjbearry | |||||
MIS 6341 Zixuan Meng | |||||
A- | |||||
MIS 6341 Jason Parker | |||||
MIS 6341 Muhammad Sabir | |||||
MIS 6341 Waseem Shadid | |||||
MIS 6341 Harpreet Singh | |||||
MIS 6341 Uri Smashnov | |||||
B+ | |||||
MIS 6341 Nassim Sohaee | |||||
A- | |||||
MIS 6341 Shaojie Tang | |||||
MIS 6341 Lidong Wu | |||||
MIS 6341 Amir Zemoodeh | |||||
Applied Machine Learning
Naveen Jindal School of Management
This course covers machine learning models for business data including text mining, natural language processing, non-linear regression models, resampling methods and advanced neural networks and artificial intelligence-based models for data-driven analytics. The course will be taught using either R or Python language. 3 credit hours.
Prerequisites: (BUAN 6356 or BUAN 6383 or MIS 6386 or BUAN 6324 or MIS 6324 or OPRE 6399) and (OPRE 6359 or BUAN 6359).
Offering Frequency: Each semester
Grades: 232
Median GPA: A-
Mean GPA: 3.650
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Applied Machine Learning
Naveen Jindal School of Management
This course covers machine learning models for business data including text mining, natural language processing, non-linear regression models, resampling methods and advanced neural networks and artificial intelligence-based models for data-driven analytics. The course will be taught using either R or Python language. 3 credit hours.
Prerequisites: (BUAN 6356 or BUAN 6383 or MIS 6386 or BUAN 6324 or MIS 6324 or OPRE 6399) and (OPRE 6359 or BUAN 6359).
Offering Frequency: Each semester
Grades: 232
Median GPA: A-
Mean GPA: 3.650
Click a checkbox to add something to compare.