The project consists of a Multi-Label Text Classifier project using a Random Forest Classifier with MultiOuputClassifier from Sklearn.
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Dec 24, 2024 - Python
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disaster-messages
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End-to-end machine learning pipeline to classify disaster messages into 36 categories and a web app to deploy the trained model.
nlp flask machine-learning udacity deployment scikit-learn webapp hyperparameter-optimization sql-database multilabel-classification gridsearchcv etl-pipeline sklearn-pipeline disaster-messages udacity-data-scientist-nanodegree
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Mar 25, 2021 - Jupyter Notebook
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Jan 23, 2020 - Python
This project involves ETL and a Machine Learning Pipeline implementation that classifies tweets to assist people with a disaster emergency response using a Flask Web App.
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Jun 15, 2020 - Jupyter Notebook
Natural language processing for disaster message classfication
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Mar 26, 2020 - Python
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