willywairagu/Kenya-Hack---Tanzania-Tourism-Prediction-Challenge

Domain:

socioeconomic

Record type:

dataset

Creator:

wil

Host:

by Nairobi Women in Machine Learning Data Science # Kenya Hack :- Tanzania Tourism Prediction Challenge by Zindi The objective of this hackathon is to develop a machine learning model to predict what a tourist will spend when visiting Tanzania, The dataset describes 6476 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 the growth of the sector. The model can be used by different tour operators and the Tanzania Tourism Board to automatically help tourists across the world estimate their expenditure before visiting Tanzania Find in this repository a detailed notebook on how i solved this and emerged position three .

Visit

github.com

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AI4D Africa’s Anglophone Research Lab Tanzania Tourism Classification Challenge

Tanzania Tourism Prediction

Can you use tourism survey data and ML to predict how much money a tourist will spend when visiting Tanzania?
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