jdills26/Tanzania-water-table

Pump it Up: Data Mining the Water Table | HOSTED BY DRIVENDATA # Tanzania-water-table Am using data sets provided by drivendata.org to predict if water pumps will be functional, need repair, or non-functional. Data-explore shows my preliminary analysis of the data and some nice countplots in seaborn Clean-data shows how I removed features and created new ones for operation year, season, and rural/urban setting Train-test-split shows accuracy calculations, log loss, classification report, and confusion matrix Model-and-predict-data shows model using random forest classifier. Using rfc currently have a score of 0.8020 which ranks me at 176 out of 1553 competitors. Map of data using cartodb: jdills26.cartodb.com