Year of Graduation
Forecast Model Construction on Hotel Room Prices Analysis
Tourism for many people plays an important role in life. However, after a hard period is quite difficult to choose the direction, tickets, hotels, and other important aspects for the traveler. The reason for writing this paper was a sharp transition lately tourists internet sphere. Purchase travel packages becomes less relevant. Travelers tend to choose their own vacation spot, hotel, hotel category, and other amenities. The aim of this work was to write a program capable of downloading data from one of the most popular tourist sites booking.com according to certain parameters. There was produced not only visual analysis, as well as produced regressions attempt to construct a model most accurately predicts the price of the hotel rooms. Also managed to build an economic model capable of evaluating the utility of tourists from visiting certain type of hotel in one of the selected cities.