BensonMuriu/Tanzania-waterwell-predictions

# Tanzania waterwell status prediction Tanzania is an East African country with about 59,678,000 in population (2021 est.), and located just south of the Equator. It is a developing country that still has struggles with providing clean water to its entire population. There are many water points already established in the country, but some are in great need of repair while others have failed altogether. ## Data understanding This project analyzes the Tanzanian Water Wells datasets released by the Tanzanian Government. The dataset includes 59,400 rows each repressenting a unique well within the Tanzanian Governments realm. Our targets are broken down into three categories: * `Functional ` * `Non Functional` * `Functional Needs Repair` We will attempt to predict the status of the wells condition through utilizing Exploratory Data Analysis (EDA) and building classification models tuned to the parameters that will have the largest impact on our predictive ability. This dataset comes with two applicable files training_set_labels and training_set_values. During our EDA we will join these tables together to give us one file to work with. The values dataset has 39 total columns and contains all of our predicitve features. Below is a description of each column. * `amount_tsh `: Total static head (amount water available to waterpoint) * `date_recorded` : The date the row was entered * `funder `: Who funded the well * `gps_height` : Altitude of the well * `installer` : Organization that installed the well * `longitude` : GPS coordinate * `latitude `: GPS coordinate * `wpt_name `: Name of the waterpoint if there is one * `num_private` :Private use or not * `basin `: Geographic water basin * `subvillage` : Geographic location * `region `: Geographic location * `region_code` : Geographic location (coded) * `district_code` : Geographic location (coded) * `lga` : Geographic location * `ward` : Geographic location * `population` : Population around the well * `public_meeting` : …