CSV File - https://drive.google.com/file/d/1XaVDg-8VedjidPVKQiuYo-4l6vHsRjgH/view?usp=sharing

Business challenge/requirement

SeaPort is the largest operator of Sea Planes across sea shores in Europe. SeaPort doesn't have planes of their own, rather they lease them on a short term basis based on passenger traffic.

You as an ML expert have to build a model to forecast the demand (passenger traffic) of traffic.

Key issues

As of now utilization of Planes is low due to poor forecasts of traffic

Considerations

NONE

Data volume

-Approx 144 records -data month wise for last 12 years -file SeaPlaneTravel.csv

Fields in Data

Month: Month in which traffic data was recorded

'#Passenger': No of travellers availing Service in that month

Additional information

-NA

Business benefits

Better utilization of planes will lead to decrease in cost and hence better bottom line.