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A public repo of datasets. Contribute to datasciencedojo/datasets development by creating an account on GitHub
Contents. Titanic Dataset PPT.pptx: A PowerPoint presentation that details the analysis of the Titanic dataset. It includes steps such as data cleaning, exploratory data analysis, visualizations, and model building to predict survival outcomes based on various factors. Titanic IDS.ipynb: A Jupyter notebook containing the code for data cleaning ...
This project explores the infamous Titanic dataset to uncover insights into the tragic sinking of the Titanic and predict survival outcomes of its passengers. Using Python and various data science libraries, the analysis encompasses data cleaning, exploratory data analysis (EDA), feature engineering, and predictive modeling.
Jul 31, 2024 · Raw. titanic_dataset.csv. This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters. Learn more about bidirectional Unicode characters. Show hidden characters. PassengerId.
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Dataset(titanic.txt), added in the repository. 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.
A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. - GitHub - geodra/Titanic-Dataset: A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition.
The sinking of the RMS Titanic is one of the most infamous shipwrecks in history. On April 15, 1912, during her maiden voyage, the Titanic sank after colliding with an iceberg, killing 1502 out of 2224 passengers and crew. This sensational tragedy shocked the international community and led to better safety regulations for ships.
Titanic Dataset Analysis. Overview This project focuses on downloading, analyzing, and visualizing the famous Titanic dataset. This dataset contains information about the passengers aboard the RMS Titanic, which tragically sank on its maiden voyage. It includes data such as age, fare, class, and whether the passenger survived or not. Workflow
Data analysis is a statistical method used to describe variability among observed, correlated variables. The goal of performing factor analysis is to search for some unobserved variables called factors. This dataset has passenger information who boarded the Titanic along with other information like survival status, Class, Fare, and other variables.
