disaster-response-pipeline | ETL pipeline combined with supervised learning

disaster-response-pipeline is a Python library typically used in Manufacturing, Utilities, Machinery, Process applications. disaster-response-pipeline has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

In this project, I'll apply data engineering to analyze disaster data from Figure Eight to build a model for an API that classifies disaster messages. data directory contains a data set which are real messages that were sent during disaster events. I will be creating a machine learning pipeline to categorize these events so that appropriate disaster relief agency can be reached out for help. This project will include a web app where an emergency worker can input a new message and get classification results in several categories. The web app will also display visualizations of the data. Here are a few screenshots of the web app.