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School / Prep
ENSTBB
Internal code
BT6PRIA2
Description
Be able to apply programming skills to analyze and exploit data through machine learning (clustering, regression, etc.).
Teaching hours
- CIIntegrated Courses10h
- CMLectures2h
Mandatory prerequisites
Statistics course S5
Further information
Machine Learning: introduction.
Assessment of knowledge
Initial assessment / Main session
| Type of assessment | Nature of assessment | Duration (in minutes) | Number of tests | Evaluation coefficient | Eliminatory evaluation mark | Remarks |
|---|---|---|---|---|---|---|
| Final inspection | Machine work | 60 | 0.5 | |||
| Project | Report | 0.5 |
Second chance / Catch-up session
| Type of assessment | Nature of assessment | Duration (in minutes) | Number of tests | Evaluation coefficient | Eliminatory evaluation mark | Remarks |
|---|---|---|---|---|---|---|
| Final test | Machine work | 60 | 0.5 |