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Statistical Machine Learning is used to discover patterns and relationships in large data sets. Topics will include: data exploration, classification and regression trees, random forests, clustering and association rules. Building predictive models focusing on model selection, model comparison and performance evaluation. Emphasis will be on concepts, methods and data analysis; and students are expected to complete a significant class project, individual or team based, using real world data.

Prerequisites: PSTAT 120A-B; and PSTAT 126 with a minimum grade of C or better.

4

Units

Optional

Grading

1, 2, 3

Passtime

None

Level Limit

Letters and science

College
Unlocks PSTAT 135 PSTAT 235 PSTAT 234 PSTAT 134
YU G H
Guo Yu
2.8
29 reviews
ILP 3209
M
17:00 PM - 17:50 PM
3 / 5

ILP 3209
M
14:00 PM - 14:50 PM
5 / 5 Full

ILP 4101
M
15:00 PM - 15:50 PM
4 / 5

GIRV 2119
M
16:00 PM - 16:50 PM
2 / 5

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Fall 2025 . Yu G
ILP 2302
M W
11:00 AM - 12:15 PM
Fall 2025 . Yu G
ILP 2302
M W
12:30 PM - 13:45 PM
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PSTAT 231 Yu G Winter 2025 Total: 5
PSTAT 231 Yu G Fall 2022 Total: 5
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29
2.8
PSTAT131 . Yu G H 6 Months Ago

Definitely avoid if you can. Unfair exams, more focused on confusing and tricking students than assessing their knowledge of the material

0 helpful 0 unhelpful
PSTAT232 . Yu G H 7 Months Ago

This class was a mess. The professor just read off the slides, never explained anything clearly, and didn't seem to care if we understood. Grading felt random, and office hours were useless. I came in hoping to learn stats, but mostly left confused and frustrated. Wouldn't recommend at all.

0 helpful 0 unhelpful
PSTAT131 . Yu G H 7 Months Ago

Terrible professor. Lectures are disorganized and confusing, and he rarely answers questions clearly. He reads straight from the slides without explaining concepts. Grading is inconsistent, and there's no feedback on assignments. Office hours feel rushed and unhelpful. I learned more from YouTube than from class.

0 helpful 0 unhelpful
PSTAT131 . Yu G H 8 Months Ago

Don't know what's up with the negative reviews. I agree that lectures were focused on theoretical concepts it's math course so what do you expect? He knows the material inside out, with well-structured homeworks that actually help you understand the content. Final exam was fair, it's just that without a midterm we didn't know what was expected.

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PSTAT131 . Yu G H 8 Months Ago

Lectures were pretty useless, though he does know his stuff. Final exam was poorly written, class average of 50% (though he did curve the final grades). Provided 4 bullet points for instructions on the final project.

0 helpful 0 unhelpful
PSTAT131 . Yu G H 8 Months Ago

Guo seems friendly and approachable at first, as well as knowledgeable in machine learning concepts, but his teaching style doesn't convey that much. Sections seemed practically useless, lectures focused too heavily on theory with little to no explanations, and course expectations, like for the final project, were outlined weakly and much too late.

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