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5.0
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1,000
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99%
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Not teaching in Spring 2026 | |||||
STAT 4360 Pankaj Choudhary | |||||
C+ | |||||
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Not teaching in Spring 2026 | |||||
STAT 4360 Pankaj Choudhary | |||||
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Grades: 560
Median GPA: A-
Mean GPA: 3.342
3.8
Professor rating
2.9
Difficulty
24
Ratings given
45%
Would take again
Introduction to Statistical Learning
STAT 4360
School of Natural Sciences and Mathematics
Supervised learning methods including linear regression; classification; cross-validation; bootstrap; model selection and regularization; tree-based methods; and support vector machines. Unsupervised learning methods including principal components analysis and clustering. Computer packages such as R or Python will be used for implementation of methods and data analysis. 3 credit hours.
Prerequisite: STAT 3355 or instructor consent required.
Offering Frequency: Each year
Grades: 343
Median GPA: B+
Mean GPA: 3.031
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Grades: 560
Median GPA: A-
Mean GPA: 3.342
3.8
Professor rating
2.9
Difficulty
24
Ratings given
45%
Would take again
Introduction to Statistical Learning
STAT 4360
School of Natural Sciences and Mathematics
Supervised learning methods including linear regression; classification; cross-validation; bootstrap; model selection and regularization; tree-based methods; and support vector machines. Unsupervised learning methods including principal components analysis and clustering. Computer packages such as R or Python will be used for implementation of methods and data analysis. 3 credit hours.
Prerequisite: STAT 3355 or instructor consent required.
Offering Frequency: Each year
Grades: 343
Median GPA: B+
Mean GPA: 3.031
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