Machine Learning and Data Analytics

CT Score

1500

#0 of 0 in INDENG

Difficulty

7/10

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

4.8%

59.1%

18.5%

9.4%

4.1%

0.4%

0.3%

0.1%

0.3%

0.1%

2.6%

A+

A-

B+

B-

C+

C-

By professor: same course, different game

PROFESSORSCOREGRADEHRS/WKTERMS

Ying Cui

2 community ratings

——

Professor ratings →

Sections

No section data for this term yet.

In the tree

Prerequisites include working knowledge of a programming language (preferably Python), database language (preferably SQL), a statistical package (preferably R), and an understanding of basic linear and non-Ââ€linear statistical models. Prior exposure to machine learning is helpful, though this will be covered in the predictive analytics and theory course.→INDENG 242A→unlocks 2 courses

2 mapped courses list INDENG 242A as a prerequisite. See on the map →

Study groups

0 active

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