Supervised and Unsupervised Learning

Course Overview

This course explores the basics of machine learning focusing on key concepts of supervised and unsupervised learning algorithms. You will learn regression classification and clustering techniques with hands-on examples.

What you'll learn

Understand the fundamentals of machine learning

Differentiate between supervised and unsupervised learning

Apply regression for predicting outcomes

Implement clustering techniques to group data

Evaluate machine learning models and their performance

Course Content

Introduction to Supervised and Unsupervised Learning
Supervised Learning Essentials
Advanced Supervised Learning Techniques
Unsupervised Learning Basics
Advanced Unsupervised Learning Techniques
Capstone Project: Applying What You’ve Learned