forecasting transportation demand is important for multiple purposes such as staffing, planning and inventory control. the public transport system has gone through a major effort of reconstruction. In this comtext a business intelligence competition took place in october $2006$ which focused on forecasting demand for public transportation.

Your goal is to create a model$/$method that produces accurate forecasts. To evaluate your accuracy, partition the given historic data into two periods. Models should be fitted only to the training data and evaluated on the validation Data.

cREATE A MODEL THAT GENERATES REASONABLY GOOD FORECASTS ON ANY TIME $/$DAY OF THE WEEK.