ADVERTISEMENT · TOP BANNER RESERVED SPACE
DISCOVERY STUDIO / MACHINE LEARNING / CLASS 11–12 ENRICHMENT
Machine Learning · EXPERIMENT 22

Data preprocessing

Missing values, scaling and encoding

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

Data preprocessing

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

Choose suitable preprocessing for mixed data.

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.

ADVERTISEMENT · BOTTOM BANNER RESERVED SPACE