Introduction to Classification Algorithms | Data Science

WHAT WILL THE CANDIDATE LEARN ?

˙ Introduction to Clustering

˙ Analysing and Segregating Data using K means

˙ Gaussian Distribution

˙ Hierarchical Agglomerative Clustering

˙ Introduction to Random Variables

˙ Understand Segmentation as Clustering

BENEFITS OF THE COURSE :

˙ Truly understand what Algorithms Big Data Machine Learning and Data Science is.

˙ To understand how these different domains are distinct and how they collaborate as well.

˙ To really understand where these concepts are used using real life analogies.

˙ To understand the different algorithms and their working.

˙ To learn how these algorithms are applied to solve various problems.