Relative Humidity Prediction
The goal of the experiment was to predict the relative humidity from a given dataset available from the Microsoft Azure Dataset collection
The model was created by excluding unnecessary columns such as AirportID, and certain units provided in Farenheits.
The model was also tuned using three different algorithm before settling for the Bayesian Regression model, apart from this also
various tuning was done to achieve a closer Co-efficient determination of 1 but the best that was achieved was at 0.64.
