T-hoveen/Project-Predicting-Waterpoint-Functionality-in-Tanzania

# Table of Contents 1. Business Overview 2. Business Understanding 3. Stakeholders 4. Success criteria 5. Data Understanding 6. Constraints 7. Data Visualisations 8. Model Performance 9. model choice 10. Recommendations 11. Thank You # Business Overview After gaining independence, the Tanzanian government introduced a policy to provide free potable water to all rural residents by 1991. Formalized in 1971, this policy made the government responsible for developing, operating, and maintaining water supply systems without implementing cost recovery measures. During the 1970s, many projects were funded by donors, particularly from Sweden, leading to the construction of numerous waterpoints. By the time the dataset was collected, some of these waterpoints remained fully operational, others required repairs, and some had ceased functioning altogether. # Objectives The main goal of this project is to develop a model capable of predicting whether a waterpoint is functional or non-functional based on a set of independent variables. This insight can assist the Tanzanian Government and other stakeholders in identifying waterpoints that may require repairs based on their specific characteristics. # Stakeholders - Government Entities: The Tanzanian Ministry of Water, responsible for infrastructure management and policymaking. - Non-Governmental Organizations (NGOs): Organizations working to improve access to safe water in underserved areas. - Local Communities: Direct users who benefit from operational waterpoints. - Funders and Donors: Investors focused on the impact and sustainability of water infrastructure projects. # Success criteria - **Accuracy:** The model should have a high accuracy in predicting the status of waterpoints. # Data Understanding To achieve my objective I sourced my data from - DrivenData. (2015). Pump it Up: Data Mining the Water Table. Retrieved [December 3 2024] from drivendata.org …