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KaggleTabularBeginnerRegistration open

Titanic - Machine Learning from Disaster

A beginner tabular competition requiring roughly 15–45 hours for an end-to-end practice run.

Difficulty
Beginner
Estimated effort
15–45 hours
Registration deadline
To be confirmed
Compute
CPU only
OverviewResourcesPreparationSource

Overview

Who this competition fits

Intermediate learners who want to deepen their skills in general machine learning. Good for building practical experience with real-world data.

Read the original official blurb
Start here! Predict survival on the Titanic and get familiar with ML basics

Resources

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.

  • Support channelKaggle Discord for competition discussions
  • TutorialTitanic step-by-step submission tutorial
  • TutorialTitanic competition getting-started video
  • BaselineForkable TensorFlow Decision Forests starter notebook
  • Support channelCompetition discussion forum with tutorials and insights
  • TutorialKaggle Lingo instructional video
  • DataTitanic train and test passenger datasets

Preparation

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.

Source

How this page was assembled

Competition information is structured from the official page. Scores are platform estimates for decision support; official rules take precedence.

Official competition page
Kaggle
Last checked
Sep 28, 2012

Entry assessment

est.
33

Prepare before joining

Overall fit estimate

Beginner fit33/100
Learning value75/100

Confirm eligibility and time commitment before moving into formal preparation.

18+ · Location rules

Open official pageSign in to saveOpen guide

Timeline

Registration opens
Sep 28, 2012
Submission deadline
Jan 1, 2030
Competition ends
Jan 1, 2030

Data and review state

Separate what is confirmed from what still needs review. Official rules and deadlines win.

View data stateClose
Source page verifiedMetric confirmedReviewed
Source published
Sep 28, 2012
Source created
Sep 14, 2012
Published on this site
Jul 18, 2026