This course provides an overview of IOT Data Cleaning, it covers the needs for data cleaning and types of data cleaning as required for IOT data. It provides an in-focus analysis of missing data in IOT streams. It also covers various approaches for Living with missing data via imputing of the missing data. Further, this course covers KNN Based Data Imputation: A focused approach to data imputation for IOT data with K – Nearest Neighbour Algorithm. Finally this course concludes with a Demo of the data imputation approach using global mean and median.
- Understanding IOT Architecture and IOT Analytics Data Science Life Cycle.