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DISCOVERY STUDIO / MACHINE LEARNING / CLASS 11–12 ENRICHMENT
Machine Learning · EXPERIMENT 30

End-to-end ML workflow

Data, preprocessing, split, train, evaluate and deploy

Class 11–12 enrichment · Guided experience
VISUAL CONCEPT MAP · CLEAN

End-to-end ML workflow

See how profiling and careful cleaning turn inconsistent records into usable evidence.

Input / evidence Processing Output / insight
RAW DATAPROFILECLEANREADYFROM MESSY RECORDS TO TRUSTWORTHY DATA

Mission briefing

Arrange a responsible machine-learning workflow.

Explore the concept, change an input, observe the result and explain what it means.

▥ DATA EXPLORER SYNTHETIC DATASET
A42
B68
C55
D86
E63

✎ Observation log

Record what you observed, what changed and one limitation.

CBSEMOCK AI & ML Virtual Labs · Educational conceptual model. Outputs are illustrative, not evidence of a validated or trained production AI system. Confirm class-wise syllabus alignment before assessment.

Teacher review · Practical rubric

Suggested assessment framework. Teacher may adjust marks to suit the class and task.

Teacher rubric score: 4 / 10

Complete record includes student details, practical notes, experiment title, date and teacher rubric. Existing lab-specific notebook and activities are retained.

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