MrAsimZahid/Pump_it_Up

Using data from Taarifa and the Tanzanian Ministry of Water, can you predict which pumps are functional, which need some repairs, and which don't work at all? and ensure that clean, potable water is available to communities across Tanzania. Pump it Up: Data Mining the Water Table ============================== Using data from Taarifa and the Tanzanian Ministry of Water, can you predict which pumps are functional, which need some repairs, and which don't work at all? Predict one of these three classes based on a number of variables about what kind of pump is operating, when it was installed, and how it is managed. A smart understanding of which waterpoints will fail can improve maintenance operations and ensure that clean, potable water is available to communities across Tanzania. Project Organization ------------ ├── LICENSE ├── Makefile requirements.txt` │ ├── setup.py <- makes project pip installable (pip install -e .) so src can be imported ├── src <- Source code for use in this project. │   ├── __init__.py <- Makes src a Python module │ │ │   ├── data <- Scripts to download or generate data │   │   └── make_dataset.py │ │ │   ├── features <- Scripts to turn raw data into features for modeling │   │   └── build_features.py │ │ │   ├── models <- Scripts to train models and then use trained models to make │ │ │ predictions │   │   ├── predict_model.py │   │   └── train_model.py │ │ │   └── visualization <- Scripts to create exploratory and results oriented visualizations │   └── visualize.py │ └── tox.ini <- tox file with settings for running tox; see tox.readthedocs.io -------- The features in this dataset -------- Your goal is to predict the operating condition of a waterpoint for each record in the dataset. You are provided the following set of information about the waterpoints: - ```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 - ```lat …