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Free Certificate

Unsupervised Learning: Clustering

This course will help you master Clustering in Unsupervised Learning, covering basics, K-Means, Hierarchical Clustering, and more

11 hours of learning

Clustering

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K-Prototype

For enquiries call:
18002102020
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KEY HIGHLIGHTS

What You Will Learn

K Means Clustering

Welcome to 'K-Means Clustering'. Building on your knowledge of unsupervised learning and clustering, this session dives into the K-Means algorithm, a key technique for achieving unsupervised clustering.

Topics Covered

Executing K Means in Python

Welcome to 'Executing K-Means in Python'. After learning about clustering and the K-Means algorithm, this session will demonstrate implementing K-Means in Python using the Online Retail case study.

Topics Covered

Hierarchical Clustering

Learn about Hierarchical Clustering, an unsupervised method where you don't pre-define cluster numbers. Instead, visually assess data point similarities to determine the right number of clusters.

Topics Covered

Other Forms of Clustering

In this session, we will cover two algorithms, K-Mode and K-Prototype clustering, and briefly discuss the DBSCAN algorithm, a density-based method that divides data into high-density subgroups.

Topics Covered

CERTIFICATION

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Receive a signed and verifiable e-certificate from upGrad upon successfully completing the course.

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1800 210 2020

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