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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.
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,...
Aug 29, 2014 · 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.
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.
Exploratory and predictive analysis of the Titanic dataset using Python. This project encompasses data cleaning, visualization, feature engineering, and machine learning to predict survival rates. ...
Titanic-Dataset: How to score 0.80861 on the public leaderboard (top10%) One of the reasons that the shipwreck led to such loss of life was that there were not enough lifeboats for the passengers and crew.
5 days ago · The dataset used in this project is sourced from Kaggle and is available in the repository. It includes the following columns: 1.PassengerId: Unique ID for each passenger. 2.Survived: Survival status (0 = No, 1 = Yes). 3.Pclass: Passenger class (1 = 1st, 2 = 2nd, 3 = 3rd). 4.Name: Name of the passenger. 5.Sex: Gender of the passenger. 6.Age: Age of the passenger. 7.SibSp: Number of siblings/spouses aboard the Titanic. 8.Parch: Number of parents/children aboard the Titanic. 9.Ticket: Ticket ...
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.
