Introduction to Clustering Algorithms | Data Science
Domain : Data Science

This is a self-paced accelerated programme :
• You complete the course at your own pace
• The course has multiple assessments throughout the video lectures
• You get access to 4 hours of on-demand programme content
• Get full lifetime access
• Personal Mentorship available at a premium cost
• Get Certificate of Completion

Flow of the programme :
• Register for the course
• Readiness Assessment
• Pre-Assessment
• Video Lectures
• Assignments
• Post-Assessment

By the end of this course you will learn the following :
• Introduction to Clustering
• Analysing and Segregating Data using K means
• Gaussian Distribution
• Hierarchical Agglomerative Clustering
• Introduction to Random Variables
• Understand Segmentation as Clustering

You will also be complete the following assignment:
• Performing the algorithms using skLearn and Python