MercyNgila/Tanzanian-Water-Pump-Status

Pump it Up: Data Mining the Water Table- Taarifa Tanzania # Pump-It-Up ## Introduction Photo by Bartosz Hadyniak on Unsplash ## Business Understanding ### Problem Water shortage in Tanzania has been a problem for years now. The most affected are the rural areas. One out of six people lack access to safe drinking water in Tanzania (WHO/UNICEF, 2004). According to UNICEF, It is estimated that Tanzania spends 70 per cent of its health budget on preventable Water, Sanitation and Hygiene (WASH) related diseases as the majority of the population does not have access to improved sanitation, and close to half of the population does not have access to clean drinking water. As part of its Vision 2025, the Government of Tanzania has pledged to increase access to improved sanitation to 95 per cent by 2025. The Second Five Year Development Plan (FYDP II) has also set the target for access to improved sanitation facilities at 85 per cent in rural areas. UNICEF is working with the Tanzanian Government and development partners on four priority WASH areas: 1. To ensure access to improved sanitation and hygiene in rural and peri-urban communities. 2. Develop sustainable solutions for provision of WASH facilities in health and educational institutions. 3. Ensure sustainable and equitable access to safe drinking water in rural and periurban areas. 4. Provide effective response in emergencies to prevent the spread of diseases due to poor sanitation, unhygienic living conditions and unsafe drinking water. ### Aim There are many water wells already established across different parts of the country. To achieve the third priority WASH areas goal, there is need to know the conditions of the waterpumps in these water wells which would advice the best strategy moving forward.. Visiting each well to establish their conditions would be highly costly and time consuming. The Tanzanian Government in partnership with UNICEF has contracted my consulting company, Nangila Analytics, to create a machine learning (ML) model to predict conditio …