Learn the theoretical foundations of clustering along with fundamental and advanced clustering methods such as distance based, iterative, hierarchical, continuous and categorical, density based methods. Dive into a deeper analysis with measures to analyze quality of clustering and its applications.
PREREQUISITES: Basic machine learning and python.
TOOLS AND FRAMEWORKS: Python, sci-kit learn, Tensor flow.
DURATION: 2 hours