A Machine Learning Message classifier trained on messages received during disasters to classify them according to their respective category(e.g. health, medicine, relief, etc.)
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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
- To run ETL pipeline that cleans data and stores in database
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Run the following command in the app's directory to run your web app.
python run.py
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Go to http://0.0.0.0:3001/
data/process_data.py
: ETL Pipeline used for data preperationmodels/train_classifier.py
: Machine Learning Pipeline used to build, train and test modelapp/run.py
: Python file to instantiate web applicationapp/templates/*.html
: HTML files for web application