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GitHub / lilyyapinglang / disaster_response_pipeline_project
This project takes around 26k+ disaster report messages from different sources as source data, clean and train a classification model with the data, which aims to build a model that categories incoming message into its most related categories.
Stars: 1
Forks: 0
Open Issues: 0
License: None
Language: Python
Repo Size: 4.9 MB
Dependencies: pending
Created: over 1 year ago
Updated: about 1 year ago
Last pushed: over 1 year ago
Last synced: about 1 year ago
Topics: disaster-response, flask, nlp-machine-learning