Introduction to Machine Learning
In this course, we will cover how to implement basic supervised learning and unsupervised learning algorithms.
Syllabus
6 chapters19 lessons3 projects3 challenges39 quiz questionsThe Beginning of ML Journey
3 lessonsMachine Learning Overview
2 lessonsK-Nearest-Neighbors (KNN)
Project3 lessonsK-Means Algorithm
Project3 lessonsNaive Bayes
Project3 lessonsOther Models
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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.
