ECON 425T
Machine Learning for Economists
Course statistics
- Predicted GPA
- 3.60
- n = 173 · 2 terms · ± 0.040
- A range
- 55%
- of letter grades
- Taken P/NP
- 0%
- — of those passed
- D / F / W
- 0.0%
- incl. withdrawals
Sections in Fall 2026
Not offered in Fall 2026.
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.
- 5623W
- 5924W
Peak 59
Most recent
59
in 24W
2 terms on record
Grade distribution
- A+ 36 · 20.8%
- A 42 · 24.3%
- A- 18 · 10.4%
- B+ 59 · 34.1%
- B 12 · 6.9%
- B- 6 · 3.5%
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 |
|---|---|---|---|---|---|
| CHENG, GUANG | 3.45 | 3.44 | 117 | 1 | 34% |
| ZHOU, HUA | 3.92 | 3.99 | 56 | 1 | 100% |
“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
- 23W 3.99 n=56
- 24W 3.44 n=117