Applied Machine Learning

CT Score

1500

#0 of 0 in DATASCI

Difficulty

—/10

Workload

—h/wk

Median grade

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 surveys

9.5%

83%

3.7%

1.2%

1.1%

0.6%

0.2%

0.1%

0.2%

0.1%

A+

A-

B+

B-

C+

D+

By professor: same course, different game

PROFESSORSCOREGRADEHRS/WKTERMS

Professor ratings →

Sections

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In the tree

DATASCI 201 and DATASCI 203 AND MIDS students only. Intermediate competency in Python, C, or Java, and competency in Linux, GitHub, and relevant Python libraries. Linear algebra is recommended.→DATASCI 207→unlocks 7 courses

7 mapped courses list DATASCI 207 as a prerequisite. See on the map →

Study groups

0 active

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