Titanic - Machine Learning from Disaster

Predict survival on the Titanic and get familiar with ML basics

Welcome to the Titanic - Machine Learning from Disaster Challenge!

Kaggle's Titanic ML competition is the perfect starting point for anyone looking to get familiar with Kaggle and machine learning competitions.

The task includes developing a model using machine learning to predict which passengers survived the infamous Titanic shipwreck. Although some people survived by sheer luck, certain groups had a higher chance of survival.

This competition challenges you to use passenger data, including name, age, gender, socio-economic class, and other relevant information, to build a predictive model that can answer the question: "which groups of people were more likely to survive?" Participating in this competition will allow you to develop and showcase your machine learning skills while exploring one of the most tragic and intriguing events in history.


  • Start Date: September 28, 2012
  • End Date: This competition does not have an end date.

Sponsored by Saturn Cloud

The dataset is hosted by Saturn Cloud, which will be available for download. Each participant can use the Saturn Cloud computing environment, which provides 100 free hours of compute per participant, and a Python environment. Message Saturn Cloud support and say, "I'm competing in the Titanic - Machine Learning from Disaster challenge." You'll be upgraded from the standard free tier to 100 hours of compute! Click the link below to get started with the competition.