jayaramanjay97/disaster_response_pipeline

Disaster Response Pipeline Project

Analyze disaster data from Figure Eight and build a model that classifies disaster messages.

Libraries Used:

• pandas
• matplotlib
• numpy
• nltk
• sklearn
• sqlalchemy
• pickle

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/messages.csv data/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. Run the following command in the app's directory to run your web app. python run.py

3. Go to http://localhost:3001/

References:

The Dataset used for this project is Figure Eight's Multilingual Disaster Response Messages Dataset.

Link - Multilingual Disaster Response Messages