MarvinAgumba/LOGISTIC-CLASSIFICATION-MODEL-PROJECT

Tanzania Water Wells Classification Using Logistic Regression Modeling # TANZANIA WATER WELLS CLASSIFICATION ## BUSINESS UNDERSTANDING Tanzania is an East African developing country known for its vast wilderness areas and an estimated population of 63 Million in East Africa. One of the key challenges faced by most developing countries in the region is access to & provision of clean water; this problem is exacerbated during the dry seasons when the majority of existing wells run dry. Despite the establishment of many water points in the country, some are in need of repair while others have failed altogether. ### OBJECTIVE **1.1.0** Main Objective: To predict the condition of water wells in Tanzania using information about the pumps, installation dates, and location. The information gathered will be used to provide insights to the Tanzanian government and decision-makers on how to plan in the future for the installation, repair, and maintenance of wells. **1.1.1** To identify wells that are in need of repair or have failed completely, which could help the government or NGOs to plan and prioritize the maintenance and repair work. **1.1.2** To analyze the data, then identify patterns and trends to enable the Tanzanian government to make informed decisions on where new wells can be built and ideal locations. **1.1.3** To Develop a machine learning classifier model to predict the status of water wells in Tanzania. **1.1.4** The model should be able to predict which pumps are functional, which need some repairs, and which don't work at all. ## DATA UNDERSTANDING Data Sets complied with and provided by Taarifa and the Tanzanian Ministry of Water as below: - *Test set values*: The independent variables that need predictions - *Training set labels*: The dependent variable (status_group) for each of the rows in Training set values - *Training set values*: The independent variables for the training set Our goal is to predict the operating condition of a waterpoint for each record in the dataset. We are provided the following set of infor …