Implementation of Exploratory Data Analysis on Weather Data

This paper presents the Exploratory Data Analysis on the climate data of the city of Mumbai. The climate variables are closely associated with each other. Exploratory Data Analysis helps to understand the data in a better way so that the predictions of any particular weather phenomenon are done properly. Random forest has been used to for prediction. Standardization and Normalization has been used and the results are shown. The validation techniques used are Mean Square Error, Root Mean Square Error and Mean Absolute Error.