This learning project enables understanding of mainly linear regression models and random forest among others. Anticipates flight costs on given routes in the dataset using optimal hyperparameters.
IMG-1
The above graph provides a sample understanding of the training dataset.
IMG-2
The above graph provides the average price of each airline in the test dataset.
(images added for better visual understanding only. Please refer to the python notebook for more details)