PSTAT 226: NONPAR REG CLASS
University of California, Santa Barbara
Introduction to some statistical regression and classification techniques including kernel smoothing, smoothing spline, local regression, generalized additive models, neural networks, wavelets, decision tree and nearest neighbor methods.
Average GPA: 3.83
Grade distribution records: 52 students across 5 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A+ | 1 | 1.9% |
| A | 34 | 65.4% |
| A- | 14 | 26.9% |
| B+ | 1 | 1.9% |
| F | 1 | 1.9% |
| U | 1 | 1.9% |
Based on 52 student grade records across 5 terms and 2 professors.
Instructors
- Carter A V 31 students, Average GPA 3.74
- Meiring W 21 students, Average GPA 3.94