andriankartono/WaterPump

A Project about doing predictive maintenance on water pumps in Africa # WaterPump # This Project is about doing predictive maintenance on Water Pumps in Africa. The Dataset comes from the drivendata Website (drivendata.org). In this repository, there are 3 important codes that you can run: dataset_explanation.ipynb, Final_Project.ipynb and dashboard.py The dependencies for this project are dash, plotly, sklearn, numpy, and pandas. (Also Jupyter Notebook if you want to run the Notebook) All contents of this repositories may be updated at any time. ## dataset_explanation.ipynb ## This Jupyter Notebook contains a short explanation of the dataset in a notebook. Currently it shows a short data understanding process that is usually done in data related projects. ## Final_project.ipynb ## This Jupyter NB contains the script used to create the whole machine learning model and evaluations on the machine learning model. ## Dashboard.py ## This Python script runs the whole load dataset and also the commands run on Final_project.ipynb with additional dashboard visualization. Run the script in a command prompt and open the corresponding link to access the dashboard locally (usually 127.0.0.1:8050). Currently the dashboard is only available in dark mode but may be updated in the future to support light mode as well.