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  1. Learn how to use machine learning to predict survival on the Titanic and explore the data and models. This web page may have a syntax error and crash on some browsers.

    • Titanic Tutorial

      Explore and run machine learning code with Kaggle Notebooks...

  2. Learn how to use DataLab and Pandas to prepare and analyze the Titanic dataset for a Kaggle competition. Follow the steps to import, preprocess, and visualize the data, and submit your results to the competition.

  3. Learn how to use data from the Titanic disaster to build a machine learning model that predicts survival outcomes. This tutorial covers data exploration, feature engineering, model training, evaluation, and optimization with Kaggle Notebooks.

  4. Sep 30, 2019 · In this video, Kaggle data scientist Dr. Rachael Tatman walks you through the Titanic competition, explaining the details of the competition, where to get started and how to further improve...

  5. Learn how to use Python and PyData tools to analyze the Titanic disaster data and predict survival outcomes. This notebook provides examples of data handling, visualization, and machine learning techniques for the Kaggle Titanic: Machine Learning from Disaster competition.

  6. Nov 10, 2020 · In this article, I will explain what a machine learning problem is as well as the steps behind an end-to-end machine learning project, from importing and reading a dataset to building a predictive model with reference to one of the most popular beginner’s competitions on Kaggle, that is the Titanic survival prediction competition.

  7. Jun 22, 2019 · Over the world, Kaggle is known for its problems being interesting, challenging and very, very addictive. One of these problems is the Titanic Dataset. So summing it up, the Titanic Problem is based on the sinking of the ‘Unsinkable’ ship Titanic in the early 1912.