This course will get you introduced to the fundamentals of Clustering which will be illustrated with two unsupervised learning algorithms. You will be implementing flat clustering with the k-means algorithm and hierarchical clustering with the mean shift algorithm. By the end of this course you will have a firm grasp on the basics of Clustering. This course is part of the Applied Artificial Intelligence learning path - complete this path to get hands-on, practical experience of AI.
As part of the Applied Artificial Intelligence learning path, you should already have some experience with Python and knowledge of the basics of Artificial intelligence as well regression and classification techniques and decision trees.