K-made/Tanzania-well-water

# Pump It Up Tanzania Water Wells ## 1. INTRDUCTION Tanzania, as a developing country, struggles with providing clean water to its population of over 57,000,000. There is a need to improve access to clean water for the population. While there are many water points already established, some are in need of repair and others have failed altogether. The challenge is to accurately predict the condition of a water well based on factors such as the type of pump, installation date, and other relevant information. The goal of this project is to develop a classifier that can accurately predict the condition of water wells, which can be useful for NGOs looking to locate wells needing repair or the government of Tanzania trying to find patterns in non-functional wells to influence how new wells are built ## 2. BUSINESS PROBLEM ### The Problem statement How can we accurately predict the condition of a water well in Tanzania based on factors such as type of pump, installation date, and other relevant information. ### Main Objective Predict the condition of water wells in Tanzania, which can help an NGO or the government of Tanzania to identify wells that need repair or replacement. ### Other objectives - To improve access to clean water by identifying wells in need of repair or replacement. - To provide insights into patterns and trends in the functionality of wells, which can inform decision-making for future well construction. - To promote sustainability and long-term planning for water well infrastructure in Tanzania. ## 3. NOTEBOOK STRUCTURE The notebook is here The python notebook is structured as follows: 1. Data cleaning 2. Exploratory Data Analysis 3. Feature selection 4. Data Modelling and evaluation ## 4. DATA UNDERSTANDING ### The Data ##### The data used in this project was downloaded from Taarifa and Tanzanian Ministry of Water The data for this project is obtained from the Taarifa waterpoints dashboard, which has been aggregated from the Tanzania Ministr …