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Disaster Response Pipeline Project

Instructions:

  1. Run the following commands in the project's root directory to set up your database and model.

    • To run ETL pipeline that cleans data and stores in database python data/process_data.py data/disaster_messages.csv data/disaster_categories.csv data/DisasterResponse.db
    • To run ML pipeline that trains classifier and saves python models/train_classifier.py data/DisasterResponse.db models/classifier.pkl
  2. Go to app directory: cd app

  3. Run your web app: python run.py

  4. Go to http://localhost:3001 in the browser to view the visualisations.

disaster-reponse files

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Flask app disaster response pipeline

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