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Introduction to Unsupervised Learning

star 4.65  Beginner level 1.5 learning hrs 1.2K+ Learners

Learn unsupervised learning from basics in this free online training. Unsupervised learning course is taught hands-on by experts. Best for beginners. Learn about unsupervised learning & clustering in detail. Enroll for free now!

Introduction to Unsupervised Learning

star 4.65  Beginner level 1.5 learning hrs 1.2K+ Learners
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Clustering

Principal Component Analysis (PCA)

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About this course

Unsupervised learning is a very popular form of machine learning where the dataset is presented to the algorithm without having labels present. This means that the algorithm will have to find the underlying structure present in the data to make sense of it and learning based on the same. Unsupervised learning is used for machine vision, NLP, visualization, anomaly detections and a lot of other interesting and important applications. This course aims to provide you with information that will help you understand what unsupervised learning algorithms are and more importantly how they work to solve important problems around us.

Course outline

Introduction to Unsupervised Learning and Clustering

This module starts by introducing you to unsupervised learning. Next, you will learn about clustering and go through its applications.

 

Clustering - Types and Distance

K-means Clustering

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Introduction to Unsupervised Learning

rating icon 4.65

1.5 Hours

Beginner

Sign up with Email
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1.2K+ learners enrolled so far

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Get free course content

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Master in-demand skills & tools

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Test your skills with quizzes

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Syeda Maria Azfar

5.0

★★★★ ★
In-Depth Explanation of Unsupervised Learning
Basics were cleared in depth. The course was easy to follow and grasp.
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