AI Udaan syllabus · Week 8–12
Classification in Machine Learning — Spam to Multi-Class
Classification assigns categories — spam vs not spam, disease yes/no, product type A/B/C. AI Udaan covers binary and multi-class classification, mathematics of loss and gradients, logistic regression, KNN, decision trees, and accuracy basics.
Binary vs multi-class
Binary classification has two labels. Multi-class extends to many categories with strategies like one-vs-rest. AI Udaan includes multifeature binary and multi-class examples with research assignments.
Algorithms in the syllabus
Beyond introductory classification math (Week 8), dedicated modules cover logistic regression, KNN, decision trees, spam detection logic, and model accuracy — preparing you for evaluation metrics in Week 12.
Covered in AI Udaan
- Binary and multi-class classification
- Loss functions and gradients
- Logistic regression, KNN, decision trees
- Spam detection and accuracy basics
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
What classification project ideas appear in AI Udaan?
Spam detection and multi-class categorization are used as teaching examples. Portfolio projects in later weeks extend these patterns to real datasets.
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