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Search Results
| Name | Grades | Rating | |||
|---|---|---|---|---|---|
OPRE 6343 (Overall) | |||||
OPRE 6343 Ziyi Cao | |||||
Not teaching in Spring 2026 | |||||
OPRE 6343 Hossein Kamalzadeh | |||||
OPRE 6343 Vijay Koju | |||||
OPRE 6343 Rajin Koonjbearry | |||||
OPRE 6343 Zixuan Meng | |||||
OPRE 6343 Jason Parker | |||||
OPRE 6343 Muhammad Sabir | |||||
OPRE 6343 Waseem Shadid | |||||
OPRE 6343 Harpreet Singh | |||||
OPRE 6343 Uri Smashnov | |||||
OPRE 6343 Nassim Sohaee | |||||
OPRE 6343 Shaojie Tang | |||||
OPRE 6343 Lidong Wu | |||||
OPRE 6343 Amir Zemoodeh | |||||
Search Results
| Name | Grades | Rating | |||
|---|---|---|---|---|---|
OPRE 6343 (Overall) | |||||
OPRE 6343 Ziyi Cao | |||||
Not teaching in Spring 2026 | |||||
OPRE 6343 Hossein Kamalzadeh | |||||
OPRE 6343 Vijay Koju | |||||
OPRE 6343 Rajin Koonjbearry | |||||
OPRE 6343 Zixuan Meng | |||||
OPRE 6343 Jason Parker | |||||
OPRE 6343 Muhammad Sabir | |||||
OPRE 6343 Waseem Shadid | |||||
OPRE 6343 Harpreet Singh | |||||
OPRE 6343 Uri Smashnov | |||||
OPRE 6343 Nassim Sohaee | |||||
OPRE 6343 Shaojie Tang | |||||
OPRE 6343 Lidong Wu | |||||
OPRE 6343 Amir Zemoodeh | |||||
Applied Machine Learning
OPRE 6343
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
This professor/course combination hasn't been taught in the semesters you selected. To see more grade data, try changing your filters.
Grades: 0
Median GPA: None
Mean GPA: None
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Applied Machine Learning
OPRE 6343
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
This professor/course combination hasn't been taught in the semesters you selected. To see more grade data, try changing your filters.
Grades: 0
Median GPA: None
Mean GPA: None
Click a checkbox to add something to compare.