UT_AUSTIN · SDS · COURSE SHEET
SDS 336See offeringsHas prerequisites
Practical Machine Learning
CT Score
1500
#0 of 0 in SDS
Difficulty
—/10
Workload
—h/wk
Median grade
A
from grade distribution
Would take again
—
n = 0 verified
ESTIMATEStarted from public course data. The first verified student reviews replace these numbers.
Grade distribution
Student-reported · course feedback surveys77.9%
4%
7.4%
2.7%
5.4%
2%
0.7%
A
A-
B+
B
B-
C-
D
By professor: same course, different game
PROFESSORSCOREGRADEHRS/WKTERMS
Professor ratings →Sections
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In the tree
Statistics and Data Sciences 334 with a grade of at least C-; and Computer Science 327E with a grade of at least C-→SDS 336→unlocks 1 courses
1 mapped course lists SDS 336 as a prerequisite. See on the map →
Study groups
0 active🔒 Verified-only writes. You post as “sophomore, lecture section”: real enough to trust, anonymous enough to be honest.