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GitHub / siddarthaThentu / Disaster-Response-Pipeline

A deployed machine learning model that has the capability to automatically classify the incoming disaster messages into related 36 categories. Project developed as a part of Udacity's Data Science Nanodegree program.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/siddarthaThentu%2FDisaster-Response-Pipeline
PURL: pkg:github/siddarthaThentu/Disaster-Response-Pipeline

Stars: 0
Forks: 0
Open issues: 0

License: None
Language: Python
Size: 9.57 MB
Dependencies parsed at: Pending

Created at: about 4 years ago
Updated at: about 4 years ago
Pushed at: about 4 years ago
Last synced at: over 2 years ago

Topics: bootstrap, data-analytics, ensemble-models, etl-pipelines, feature-engineering, flask, hyperparameter-optimization, machine-learning, ml-pipelines, plotly, python3

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