In this course, we will be looking at the detailed analysis of clustering algorithms as they apply to data coming from IOT data sources in a streaming manner. Even for non-streaming data, it's a good idea to use clustering as a key exploratory data analysis technique for understanding the data before we get into deeper analytics like predictive analytics. In particular we will also be concerned about the idiosyncrasies or specific requirements for IOT streaming data: Example - Application must be able to work with one pass of the algorithm because we may not store all the data and might have to work with real time data as it comes etc. This course also covers a demo of popular streaming clustering techniques.
- Understanding Basics of exploratory data analysis, IOT Architecture, IOT Analytics Data Science Life Cycle and Exploratory IOT Data Analytics via Clustering.