Skill

Build a K-Nearest Neighbors Classifier

February 2024 with Jonathan Barrios

Join Jonathan Barrios as he explores K-Nearest Neighbors and the concepts needed to build a classifier: understanding KNNs, data preprocessing, building the KNN model, and finally evaluating the model's performance.

Recommended Experience

2 to 5 years of data analytics experience

Related Job Functions

Data Analyst
Data Scientist
Data Engineer

Jonathan Barrios brings over a decade of teaching experience to deliver cutting-edge programming, data analytics, data science, and machine learning skills to CBT Nuggets.

Get started

Skill Outline

1. Introduction (8:31)
2. KNN vs. Other Classifiers (6:27)
3. Data Loading and EDA (6:17)
4. Data PreProcessing (10:44)
5. Build and Evaluate the Model (6:47)
6. Challenge (1:54)

Quizzes & Practice Exams

Reinforce core concepts and new skills with built-in quiz questions, and exams.

Virtual Labs

Explore new technology and apply your expertise in customized virtual labs.

Free Flashcards

Flashcards help you reinforce what you’ve learned before exam day.

Learn this skill and so much more!

Get started

Gain instant access to our entire IT training library, free for your first week. Train anytime on your desktop, tablet, or mobile devices.

Not sure where to start?
Call 541-284-5522 or try our .

What is it like to train with us?

Our learners say it best.

Helps me learn the skills I need when I need them

THOMAS S. | SYSTEMS ENGINEER & CONSULTANT

Read Reviews