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  1. Start here! Predict survival on the Titanic and get familiar with ML basics.

  2. Oct 16, 2018 · Predict the survival of the Titanic passengers. In this blog-post, we will take a closer look at the Titanic Machine Learning From Disaster data set from Kaggle. I will try to briefly explain...

  3. Kaggle Competition Tutorial: Machine Learning from the Titanic. Prepare for your first Kaggle Competition with this step-by-step tutorial. Mar 2022 · 9 min read. In this tutorial, we will go through the Titanic dataset, analyze it, and submit the results to the actual competition.

  4. A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstrates basic data munging, analysis, and visualization techniques. Shows examples of supervised machine learning techniques.

  5. 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...

  6. Although there was some element of luck involved in surviving the sinking, some groups of people were more likely to survive than others, such as women, children, and the upper-class. Thus, the goal of this compaetition is to predict if a passenger survived the sinking of the Titanic or not.

  7. A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstrates basic data wrangling, analysis, and visualization techniques. Shows examples of supervised machine learning techniques. - rohith28/Titanic_Kaggle

  8. Explore and run machine learning code with Kaggle Notebooks | Using data from Titanic - Machine Learning from Disaster.

  9. Jun 22, 2019 · So summing it up, the Titanic Problem is based on the sinking of the ‘Unsinkable’ ship Titanic in the early 1912. It gives you information about multiple people like their ages, sexes, sibling counts, embarkment points and whether or not they survived the disaster.

  10. 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.

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