Natural Language Processing with Disaster Tweets

Who this competition fits

Advanced practitioners with experience in general machine learning. Requires strong technical foundations and comfort with complex ML pipelines.

What this competition gives you

There is a baseline you can run as-is — starting from it is usually far faster than building from scratch.

• Data10,000 hand-classified tweets with train, test, and sample submission files
• TutorialNLP quick-start tutorial
• BaselineStarter notebook for disaster tweet classification
• Support channelKaggle Discord channels for competition discussion

From registration to a first submission

1. 01

   Python

2. 02

   scikit-learn or similar ML library

3. 03

   data analysis with pandas

Before you commit: Requires solid machine learning fundamentals and good experimental methodology. The competitive landscape is strong, with many experienced teams.