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AI4D Africa’s Anglophone Research Lab Tanzania Tourism Classification Challenge

Can you use tourism survey data and ML to classify the range of expenditures a tourist spends in Tanzania?
The dataset describes 24,675 rows of up-to-date information on tourist expenditure collected by the National Bureau of Statistics (NBS) in Tanzania.The dataset was collected to gain a better understanding of the status of the tourism sector and provide an instrument that will enable sector growth.
Your goal is to accurately classify the range of expenditures a tourist spends in Tanzania.
The majority of the visitors under the age group of 25-44 came for business (18.5%), or leisure and holidays (53.2%), which is consistent with the fact that they are economically more productive. Those at the age group of 45-64 were more prominent in holiday making and visiting friends and relatives. The results further reveal that most visitors belonging to the age group of 18-24 came for leisure and holidays (55.3%) as well as volunteering (13.7%). The majority of senior citizens (65 and above) came for leisure and holidays (80.9%) and visiting friends and relatives (9.5%).
The survey covers seven departure points, namely: Julius Nyerere International Airport, Kilimanjaro International Airport, Abeid Amani Karume International Airport, and the Namanga, Tunduma, Mtukula and Manyovu border points.


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