Taarifa [link] is a waterpoints dashboard that aggregates data from the Tanzania Ministry of Water. This project is a recurring competition from DrivenData [link] and the goal is to predict the operating condition of a waterpoint for each record in the dataset. The primary programming languages we use are Python and R.
Our team (Boomshakalaka) is ranked at 427/5278 (top 8%) and our best model (Random Forest) achieves 81.80% accuracy where the leaderboard accuracy is 82.85% as of 06/13/2018.
datafolder contains the raw data, cleaned data, as well as our submission files. We do not upload data directly to the repository and add a layer of .gitkeep to keep the folders.scripts/preprocessingfolder contains the scripts to clean and preprocess the data. Scripts for this step is written in Python.scripts/modelingcontains the models we experimented. Scripts for this step is written in Python and R.requirements.ymlis a yml file that can help you install required Python packages to run some of our modeling code