New Portfolio Project: Disaster Message Classifier
The Disaster Response Classifier is a multilabel text classification project classify disaster event related messages into appropriate categories.
The project uses Pandas for data wrangling, NLTK for text processing, and Scikit-learn for the machine learning pipeline. Addtionally, the Github repo for the project also contains a flask web app that allows users to view some basic visualizations and classify their own messages.
I worked on this project many years ago as part of the Udacity Mentorship programme. I have now cleaned up the repository and improved the model accuracy.
Check it out on my portfolio page here.