Master K-Nearest Neighbors in Python

Become an advanced, confident, and modern data scientist from scratch

Become job-ready by understanding how KNN really works behind the scenes

Apply robust Data Science techniques for the K-Nearest Neighbors algorithm

Solve Machine Learning Prediction Problems using KNN

How to think and work like a data scientist: problem-solving, researching, workflows

Get fast and friendly support in the Q&A area

## Requirements

- No data science experience is necessary to take this course.
- Any computer and OS will work — Windows, macOS or Linux. We will set up your code environment in the course.

## Description

You’ve just stumbled upon the most complete, in-depth **KNN for Regression course online**.

Whether you want to:

– build the skills you need to get your first data science job

– move to a more senior software developer position

– become a computer scientist mastering in data science

– or just learn KNN to be able to create your own projects quickly.

…this complete K-Nearest Neighbors for Regression Masterclass is the course you need to do all of this, *and more.*

This course is designed to give you the KNN skills you need to become a data science expert. By the end of the course, you will understand the K-Nearest Neighbors for Regression method extremely well and be able to apply them in your own data science projects and be productive as a computer scientist and developer.

**What makes this course a bestseller?**

Like you, thousands of others were frustrated and fed up with fragmented Youtube tutorials or incomplete or outdated courses which assume you already know a bunch of stuff, as well as thick, college-like textbooks able to send even the most caffeine-fuelled coder to sleep.

Like you, they were tired of low-quality lessons, poorly explained topics, and confusing info presented in the wrong way. That’s why so many find success in this complete K-Nearest Neighbors for Regression course. It’s designed with simplicity and seamless progression in mind through its content.

This course assumes **no previous data science experience** and takes you from absolute beginner core concepts. You will learn the core dimensionality reduction skills and master the K-Nearest Neighbors technique. It’s a one-stop shop to learn Multilayer Networks. If you want to go beyond the core content you can do so at any time.

*What if I have questions?*

As if this course wasn’t complete enough, I offer **full support**, answering any questions you have.

This means you’ll never find yourself stuck on one lesson for days on end. With my hand-holding guidance, you’ll progress smoothly through this course without any major roadblocks.

Moreover, the course is packed with practical exercises that are based on **real-life case studies**. So not only will you learn the theory, but you will also get lots of **hands-on practice** building your own models.

And as an extra, this course **includes Python code templates **which you can download and use on your own projects.

Ready to get started, developer?

**Enroll now **using the “Add to Cart” button on the right, and get started on your way to creative, advanced Multilayer Networks brilliance. Or, take this course for a free spin using the preview feature, so you know you’re 100% certain this course is for you.

**See you on the inside (hurry, K-Nearest Neighbors is waiting!)**

## Who this course is for:

- Any people who want to start learning K-Nearest Neighbors in Data Science
- Anyone interested in Machine Learning
- Anyone who want to understand how to use K-Nearest Neighbors in datasets using Python