Phase 3 – Video 4 | Regression vs Classification (How Builders Choose ML Problems)

Phase 3 – Video 4 | Regression vs Classification (How Builders Choose ML Problems)

In this video, we explain one of the most important decisions in machine learning:
choosing between regression and classification.

Before selecting any algorithm, ML builders must first understand what type of problem they are solving. This video explains regression and classification clearly using real-world examples and simple datasets — without heavy math or confusion.

This lesson is designed for beginners, IT professionals, and working professionals who want to think like machine learning builders, not just tool users.

👇 In this video, you’ll learn:

What regression is and when to use it

What classification is and when to use it

How output type defines the ML problem

Real-world regression examples

Real-world classification examples

Common beginner mistakes

🧠 Who this video is for:

Beginners learning machine learning

IT professionals moving into AI

Anyone confused about ML problem types

Learners following Phase 3 step by step

📘 Phase 3 Playlist: Building AI (Hands-On with Python & ML)
   • Phase 3 – Building AI (Hands-On with Pytho...  

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