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COM SCI 260

Machine Learning Algorithms

Course statistics

Predicted GPA
3.75
n = 165 · 2 terms · ± 0.041
A range
81%
of letter grades
Taken P/NP
0%
— of those passed
D / F / W
0.0%
incl. withdrawals

Sections in Fall 2026

Sections offered, with live enrollment and predicted GPA
Section Status Enrolled Seat risk Meets Instructor Predicted GPA
Lec 1 Waitlist
120 of 120
100% full
 fills MW 4:00pm-5:50pm Gu, Q.
3.77n=165 · this instructor
Lec 91 Open
14 of 35
40% full
 fills MW 4:00pm-5:50pm Gu, Q.
3.77n=165 · this instructor

Enrollment history

Final enrollment per term, averaged across that term's sections. Four years deep, summer excluded. Per-section live curves are on each section page.

  • 7621F
  • 8922F
Enrolment by term: 21F 76, 22F 89
Peak 89 Most recent 89 in 22F 2 terms on record

Grade distribution

  • A+ 55 · 33.3%
  • A 54 · 32.7%
  • A- 24 · 14.5%
  • B+ 16 · 9.7%
  • B 8 · 4.8%
  • B- 7 · 4.2%
  • C+ 1 · 0.6%

Grey bars are non-letter outcomes — P/NP, S/U, incompletes. They are excluded from the GPA entirely rather than scored, because counting a P as a 4.0 would be a fabrication.

By instructor

Instructor Predicted Raw n Terms A range
GU, QUANQUAN 3.77 3.77 165 2 81%

“Predicted” is shrunk toward the course average, which is itself shrunk toward the department — so an instructor with a handful of students sits near the course mean rather than topping the list.

By term