Day 26 : 60 days of Data Science and Machine Learning Series

Last few weeks have been crazy busy on the work front. Anyways, In this post we will cover ML Clustering in detail with a project( Part 1). Clustering is a technique of dividing the population or data points, grouping them into different clusters on the basis of similarity and dissimilarity between them. It helps in determining the intrinsic group among the unlabeled data points. In this post we are going to build a project ( part 1) in ML.