IOT Data Cleaning

This course provides an overview of IOT Data Cleaning, it covers the needs for data cleaning and types of data cleaning.
Instructor:
Jigsaw Academy
English [Auto-generated]
Understanding the need for data cleaning and types of data cleaning as required of IOT data.
Analysis of the missing data in IOT streams and imputing of the missing data.
Knowledge in KNN based data imputation.

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.

Overview of IOT Data Cleaning

1
Overview of IOT Data Cleaning

Note: The code snippet is applicable for all the Lectures.


2
Missing Data
3
Data Imputation
4
KNN Based Data Imputation
5
Demo of Imputation Using Mean and Median
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Includes

1 hours on-demand video
Full lifetime access
Access on mobile and TV
Certificate of Completion