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A public repo of datasets. Contribute to datasciencedojo/datasets development by creating an account on GitHub.
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Data visualization tool for the Titanic dataset developed in Unity3D for the course Interaction in Mixed Reality Spaces at the University of Konstanz.
This repository contains the analysis and visualization of the Titanic dataset. The project aims to explore various factors that affected the survival rates of passengers aboard the Titanic and to build a predictive model to determine the likelihood of survival.
This dataset has passenger information who boarded the Titanic along with other information like survival status, Class, Fare, and other variables. The unfortunate event which was occurred on 15 April 1912, the Titanic sank after colliding with an iceberg, aboard 2224 peoples.
Jan 27, 2018 · Star 26. Code. Issues. Pull requests. Using Machine learning algorithm on the famous Titanic Disaster Dataset for Predicting the survival of the passenger.
The Titanic passengers data set. GitHub Gist: instantly share code, notes, and snippets.
The Titanic sank on April 15, 1912 during her maiden voyage. After colliding with an iceberg, 1502 of its 2224 passengers died. The data set investigated in the following sections contains detailed information about 891 passengers. The data can be found on Kaggle and be downloaded from there. Feature description¶
Nov 26, 2017 · I have chosen to work with the Titanic dataset after spending some time poking around on the site and looking at other scripts made by other Kagglers for inspiration. I will also focus on doing some illustrative data visualizations along the way.
An in-depth analysis of the Titanic dataset, exploring passenger demographics, survival rates, and other key metrics using Python. This repository contains code for data acquisition, preprocessing,...
