Climate Change Predictions
At First, I imported the necessary Packages for Data Visualising and preprocessing. Then I set the index column as 'date' and Transformed the Index of the dataset into Time Series. Eventually, This Dataset was already a Stationary Time Series, so less burden on me as well. Thereby, using the ARIMA model, I fit the data and got Root Mean Square of 1.806644. At last, I predicted for the Test Sample Data.