AI Udaan syllabus · Week 12
Clustering & Model Evaluation for ML
Not all ML is prediction. Clustering groups similar data without labels. Evaluation metrics tell you if a model is actually good. AI Udaan Week 12 combines K-Means, unsupervised learning concepts, and metrics like accuracy, precision, and recall.
Unsupervised learning with K-Means
K-Means finds clusters in customer, sensor, or image feature data. Understanding unsupervised methods complements the supervised regression and classification you learned earlier.
Evaluation metrics
Accuracy alone can mislead on imbalanced datasets. Precision and recall matter for medical, fraud, and spam use cases. AI Udaan teaches when to use each metric before deployment modules.
Covered in AI Udaan
- K-Means clustering
- Unsupervised learning concept
- Accuracy, precision, recall
- Pattern detection and research tasks
Go deeper with the full bootcamp
This guide is a free overview. AI Udaan is a 16-week mentor-led Python with AI/ML bootcamp — live classes, assignments, projects, certificate, and career support for learners across Nepal.
FAQ
Does AI Udaan cover clustering before deep learning?
Yes. Week 12 covers clustering and evaluation before neural networks in Weeks 13–14.
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