AI Udaan syllabus · Week 7–8, 10
Linear Regression Explained for AI Students
Linear regression predicts numeric outcomes — sales, scores, prices. AI Udaan builds simple and multiple regression models, explains the math behind the scenes, introduces polynomial regression, and teaches error checking and quality evaluation.
From theory to prediction
Week 7 includes a practical linear regression prediction model and debunks how simple regression works internally. Week 8 extends to polynomial regression with practical examples. You learn loss functions and gradient concepts that reappear in neural networks.
Why regression first
Regression is interpretable and fast to train — ideal for learning evaluation metrics and debugging before jumping to deep learning. AI Udaan uses it as the gateway to classification in Week 8–9.
Covered in AI Udaan
- Simple and multiple linear regression
- Polynomial regression practical examples
- Model quality and error checking
- Prediction systems and loss concepts
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
Is regression math heavy in AI Udaan?
Concepts are taught with practical Python examples and mentor support. Week 7 includes a “debunk” session showing how regression works behind the scenes.
Related AI guides
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