The objective of the experiment is to predict Relative Humidity(RH) in air based on other contents in air at a given point of time.
Machine Learning has been pervading many fields & Meteorology is one of them. The data on multiple detrimental contents in air was captured by sensors set up in a polluted location of an Italian city. All the attributes were well studied before performing Data Wrangling in which we did some feature transformations & replacement of missing cells executing R Script , Python Script other Azure ML modules. The prepared data set was all the way used for Regression Analysis with powerful Azure ML algorithms. The test results with different algorithms were assembled in a meaningful format for end users to understand.