Course Features
Duration
2 hours
Delivery Method
Online
Available on
Limited Access
Accessibility
Mobile, Desktop, Laptop
Language
English
Subtitles
English
Level
Intermediate
Teaching Type
Self Paced
Video Content
2 hours
Course Description
Course Overview
International Faculty
Post Course Interactions
Instructor-Moderated Discussions
Skills You Will Gain
Prerequisites/Requirements
Machine Learning Fundamentals
Machine Learning: K-Nearest Neighbors
Foundations of Machine Learning: Unsupervised Learning
What You Will Learn
Build a recommender system
Assess the performance of a recommender system
Improve on the performance of your recommender system model
Course Instructors
Nitya Mandyam
Senior Curriculum Developer at Codecademy
Nitya is a Senior Curriculum Developer at Codecademy. Nitya has created courses and skill paths relating to machine learning/AI across the Data Science catalog such as Feature Engineering, ML Fundame...