3.3 Supervised Learning

Dependencies

Refer to the following markdown file for the respective sections of the class:

• Self Studies
• Lesson
• Assignment
• Quiz
• Reference

Lesson Objectives

Learners will understand:

• Preprocessing of variables
• Evaluation of supervised learning models
• End-to-end supervised learning workflow
• Bias-variance tradeoff

Learners will be able to:

• Preprocess numerical and categorical variables
• Use various metrics to evaluate classification and regression models
• Build end-to-end supervised learning workflow

Lesson Plan

Duration	What	How or Why
- 5mins	Start zoom session	So that learners can join early and start class on time.
20 mins	Activity	Recap on self-study and prework materials.
40 mins	Code-along	Part 1: Preprocessing numerical and categorical variables.
	1 HR MARK
30 mins	Code-along	Part 2: Classification and regression metrics.
10 mins	Break
20 mins	Code-along	Part 3: End-to-end supervised learning workflow.
	2 HR MARK
50 mins	Code-along	Part 4: End-to-end supervised learning workflow and bias-variance tradeoff.
10 mins	Briefing / Q&A	Brief on references, assignment, quiz and Q&A.
	END CLASS 3 HR MARK