1. Great Learning
  2. FSL
  3. Machine Learning

Unsupervised Machine Learning with K-means

Learn Unsupervised Machine Learning with K Means technique to analyse and cluster unlabelled dataset

4.38
average rating

Ratings

Beginner

Level

2.25 Hrs

Learning hours

10.8K+
local_fire_department

Learners

Skills you’ll Learn

About this Course

Machine Learning is one of the most effectively used technology. Currently, all the companies are using this technology as they can use their data to understand the important areas from where they can grow their business. Machine learning uses two types of techniques. One is supervised machine learning that trains a model on known input and output data so that it can predict future outputs. The second called unsupervised learning finds hidden patterns or intrinsic structures in input data. Unsupervised Machine Learning with k-means is a popular technique that is used to analyze and cluster unlabeled datasets. Unsupervised learning methods are widely used in various machine learning techniques. 

In this free course, you will be introduced to machine learning and its types, later, with the understanding of unsupervised learning. Next, you will learn unsupervised learning models, like K-means clustering. You will learn how to decide the K value and a demo on K-means clustering. NumPy, Pandas, and Scikit Learn Library are the skills you will learn in this course.

Some world-class universities, such as the University of Texas at Austin and SRM Institute of Science and Technology, have collaborated with Great Learning to create post-graduate Artificial Intelligence Courses and degree programs in India. A comprehensive and exhaustive curriculum has been designed by world-class faculty so that the learners can develop advanced skills in the AIML online course. Several industry experts from top-notch companies provide personalized mentorship to the learners to guide them in their successful career paths.

Check out our PG Course in Machine learning Today.

 

Why upskill with us?

check circle outline
700+ free courses
In-demand skills & tools
access time
Free life time Access

Course Outline

What is Machine Learning?

This module begins by defining machine learning. It then discusses how a machine understands the tasks with examples and explains supervised and unsupervised learning concepts in machine learning. 

Types of Machine Learning

This section discusses Supervised and Unsupervised Machine Learning methods to accomplish various tasks. 

What is Unsupervised Learning?
What is k-means Clustering?
How to decide the K Value?
Demo on k-means

Trusted by 10 Million+ Learners globally

What our learners say about the course

Find out how our platform helped our learners to upskill in their career.

4.38
Course Rating
64%
21%
10%
2%
3%

Unsupervised Machine Learning with K-means

2.25 Learning Hours . Beginner

Why upskill with us?

check circle outline
700+ free courses
In-demand skills & tools
access time
Free life time Access