Menu
Coddy logo textTech
Course

Introduction to Machine Learning

In this course, we will cover how to implement basic supervised learning and unsupervised learning algorithms.

Syllabus

6 chapters19 lessons3 projects39 quiz questions

The Beginning of ML Journey

3 lessons6

Machine Learning Overview

2 lessons6

K-Nearest-Neighbors (KNN)

Project3 lessons3

K-Means Algorithm

Project3 lessons3

Naive Bayes

Project3 lessons3

More like this

Frequently asked questions

How many lessons does Introduction to Machine Learning have?

Introduction to Machine Learning contains 19 interactive lessons you can complete at your own pace.

What does Introduction to Machine Learning cover?

The course is organized into chapters covering: The Beginning of ML Journey, Machine Learning Overview, K-Nearest-Neighbors (KNN) , K-Means Algorithm, and more.

Is Introduction to Machine Learning free?

Yes - every course on Coddy is free to start. You can complete lessons in your browser without any downloads or signup.

Can I get a Python certificate?

Yes. Finish the matching Python journey and you'll unlock a shareable certificate. See the certifications page for details.
Coddy programming languages illustration

Start Introduction to Machine Learning for free

GET STARTED