Disaster Response Pipeline Project

This goal of this project is to create a machine learning pipeline that categorises emergency messages based on the needs communicated by the sender.

process_data.py - Processes message & category data from CSV files and loans the data into a sqlite database

train_classifier.py - Reads from the sqlite database to create and save a multi-output supervised learning model

run.py - Web app that extracts data from the database to provide data visualisations & uses the model to classify new messages for 36 different categories