KuriaDan/Zindi-Kenya-Hack-Tanzania-Tourism-Prediction-Challenge

Domaine:

socioeconomic

Type de record:

model

Créateur:

Kur

Hôte:

Position 1 solution # Zindi Kenya Hack Tanzania Tourism Prediction Challenge Position 1 solution The objective of this hackathon was to develop a machine learning model to predict what a tourist will spend when visiting Tanzania.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. The full problem statement can be found on the competition page.

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

by Nairobi Women in Machine Learning Data Science # Kenya Hack :- Tanzania Tourism Prediction Chall

Kibugu/Kenya-Hack---Tanzania-Tourism-Prediction

The above was to predict the tourist expenditure in Tanzanaia based on what were his prefference int

Bensylent/Zindi-Tanzania-Tourism-Prediction

https://zindi.africa/competitions/tanzania-tourism-prediction # Zindi-Tanzania-Tourism-Prediction G

leulged/tanzania-tourism-prediction-zindi

# 🌍 Tanzania Tourism Prediction - Zindi Challenge This project focuses on analyzing and preparing t

WanjohiWanjohi/Tanzania-Tourism-Prediction-Challenge

This repository contains the notebooks used for the Zindi Challenge to predict the amount of money s

Gladne/Tourism-price-prediction---Zindi

Tourism Price Prediction – Zindi is a machine learning project that predicts tourist expenditure in