Unsupervised Learning

edX MOOC / Non-credit USD 249

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Unsupervised Learning

About this course

Unsupervised learning is a category of machine learning algorithms that use unlabeled data and no prior training. Many algorithms fall into this category. This class will cover the more popular ones of K-Means, DBSCAN and Hierarchical Clustering. The course ends with a capstone project.

What you'll learn

understanding unsupervised learning algorithms
applying K-Means and DBSCAN in practical scenarios
conducting Hierarchical Clustering analysis
completing a capstone project based on unsupervised learning techniques

Skills you'll gain

data-driven decision making machine learning unsupervised learning data analysis capstone project k-means hierarchical clustering DBSCAN algorithm implementation clustering techniques

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