domptail/Tanzania-Water-Wells-ongoing

Driven Data competition - Pump it Up: Data Mining the Water Table (R) # Predicting the Operational Status of Water Wells in Tanzania Driven Data competition - Pump it Up: Data Mining the Water Table The datasets are hosted by DrivenData The data consist of information (40 features) on water wells in Tanzania. The goal is to predict whether a well is "functional", "functional but in need of repairs", or "non functional". The datasets are: - Training set values (59,400 observations, 40 variables: id, date, location, installer, etc.) - Training set labels (59,400 observations, 2 variables: id, status_group) - Test set values (14,850 observations, 40 variables) A large part of this analysis was conducted using Data Camp online course: DrivenData Water Pumps Challenge. ## Content 0. Introduction 1. Exploration and Visualization of the Data 2. Feature Engineering 3. Predictions using Random Forests 4. Predictions using Multinomial Logistic Regression