Dataset

This dataset was created by Nargiza Odilova

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Dataset

This dataset was created by Deepak Kumar

Released under CC0: Public Domain

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Dataset

This dataset was created by Nibedita Sahu

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Dataset

This dataset was created by Ali Cem Topcu

Released under CC0: Public Domain

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Dataset

This dataset was created by AJ Shreim

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Dataset

This dataset was created by John Mitchell

Released under CC BY-SA 3.0

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Dataset

This dataset was created by Bhavya Goyal

Released under MIT

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Analysis of ‘Titanic dataset’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/ibrahimelsayed182/titanic-dataset on 13 February 2022.

--- Dataset description provided by original source is as follows ---

Overview

This is Titanic dataset

Data Dictionary

--- Original source retains full ownership of the source dataset ---

This dataset is about books. It has 1 row and is filtered where the book is The Titanic & the mystery ship. It features 7 columns including author, publication date, language, and book publisher.

Nearly 20 years after first finding the sunken remains of the RMS Titanic, marine explorer Robert Ballard returned in June 2004 to help the National Oceanic and Atmospheric Administration (NOAA) study the ship's rapid deterioration. A professor of oceanography at the University of Rhode Island (URI) and director of its Institute for Archaeological Oceanography, Dr. Ballard and his team of scientists from NOAA and other institutions spent 11 days at the site, mapping the ship and conducting scientific analyses of its deterioration. The team worked aboard NOAA Ship Ronald H. Brown from May 30 through June 9, and used remotely operated vehicles (ROVs) to conduct a sophisticated documentation of the state of Titanic that was not possible in the 1980s. This "Look, don't touch" mission utilized high-definition video and stereoscopic still images to provide an updated assessment of the wreck site. The science team included Dr. Dwight Coleman of URI and the Mystic Aquarium & Institute for Exploration (MAIFE), who was the expedition's research chief. As the marine archaeologist with NOAA's Office of Ocean Exploration, I oversaw the expedition's marine archaeology component. In addition to mapping the Titanic, expedition goals included the microbial research of scientist Roy Cullimore, who studied the natural deterioration of the ship's hull. Tiny microbes that feed on iron and create icicle-shaped formations called rusticles are responsible for this deterioration. While rusticles have been observed for many years, little is known about them. As the nation's ocean agency, NOAA has a vested interest in the scientific and cultural aspects of the Titanic, and in its appropriate treatment and preservation. NOAA's focus is to build a baseline of scientific information from which we can measure the shipwreck's processes and deterioration, and then apply the knowledge we gain to other deep-water shipwrecks and submerged cultural resources. The Guidelines for Research, Exploration and Salvage of RMS Titanic (9 pages, 104k) were issued under the authority of the RMS Titanic Maritime Act of 1986. On Monday, June 7, 2004, at 9 p.m. ET/PT, the National Geographic Channel gave audiences unprecedented access to the ongoing expedition by broadcasting a one-hour special, "Return to Titanic External Link," which originated from NOAA Ship Ronald H. Brown and included a live underwater telecast from the Titanic. Simultaneous with the expedition, MAIFE enabled thousands of children to experience the Titanic mission as it occurred. From June 4 through 9, four shows a day were transmitted live from the expedition via satellite and Internet2 to participating sites. The JASON Foundation for Education has created a new middle-school math curriculum called "JASON Math Adventure: Geometry and Return to Titanic," which follows the work of researchers on the expedition. Students will learn how geometry concepts are used to position NOAA Ship Ronald H. Brown at the Titanic wreck and the ROV Hercules on the Titanic's bow. Technology partners on the expedition included EDS of Texas, which wired the mission, and VBrick Systems of Connecticut, which enabled the mission feed to be broadcast nationwide.

TITANIC-FGS is the first domain knowledge-enhanced, instruction-following dataset specifically designed for the Remote Sensing Fine-Grained Ship Classification (RS-FGSC) task. It simulates human-like step-by-step decision-making to train vision-language models (VLMs) for interpretable and accurate ship classification.

Dataset

This dataset was created by PrathikBBafna

Released under CC0: Public Domain

Contents

Titanic Ship Line

Who travelled on the Titanic? When she reached the open Atlantic on 11 April 1912, the Titanic carried 2,208 people however many more travelled on her: on the delivery trip from Belfast to Southampton, and on the short journeys to Cherbourg and Queenstown. This dataset includes everyone that travelled on the maiden voyage but also the delivery and passengers who were fortunate enough to disembark.

The Titanic dataset is a well-known dataset that provides information on the passengers who were onboard the fateful voyage of the RMS Titanic. The data includes details such as the passenger's name, age, gender, ticket class, fare paid, and information on their family members. The dataset also includes a column called "Survived" which indicates whether a passenger survived the disaster or not.

There are a total of 891 rows in the dataset, with 12 columns. Some of the key columns in the dataset include:

• PassengerId: a unique identifier for each passenger • Survived: a binary variable that indicates whether the passenger survived (1) or did not survive (0) the disaster • Pclass: the ticket class of the passenger (1 = first class, 2 = second class, 3 = third class) • Name: the name of the passenger • Sex: the gender of the passenger (male or female) • Age: the age of the passenger (some values are missing) • SibSp: the number of siblings or spouses the passenger had on board • Parch: the number of parents or children the passenger had on board • Ticket: the ticket number of the passenger • Fare: the fare paid by the passenger • Cabin: the cabin number of the passenger (some values are missing) • Embarked: the port at which the passenger embarked (C = Cherbourg, Q = Queenstown, S = Southampton)

Overall, the key challenges I encountered when working on the Titanic dataset were: how to handle missing values and imbalanced classes, encode categorical variables, reduce the dimensionality of the dataset, and identify and handle noise in the data.

Here are a few tips and resources that I found helpful when getting started in the Titanic dataset competition: 1. Get familiar with the dataset 2. Pre-process the data 3. Split the data into training and test sets 4. Try out a few different algorithms 5. Tune the hyper parameters 6. Evaluate the model

Here are a few resources that I found helpful as I started Working on the competition: • Kaggle's Titanic tutorial • scikit-learn documentation. • Pandas documentation

A comprehensive dataset containing detailed profiles of all children (14 and under) who were aboard the Titanic. This includes information on their names, ages, family relationships, cabin assignments, nationalities, and survival status. The dataset provides insights into the demographics and experiences of the youngest passengers on the Titanic.

Who were the First Class Passengers on the Titanic? The first class passengers were the well-off upper and middle classes (and their servants), they included American millionaires such as Benjamin Gugghenheim, John Jacob Astor and railway magnate Charles M. Hays as well as the cream of British society including the Countess of Rothes, the eminent journalist W.T. Stead and noted couturière 'Lucile', Lady Duff Gordon. This dataset contains a comprehensive list of RMS Titanic first class passengers, with biographical data and links to full biographies.

Context

There's a story behind every dataset and here's your opportunity to share yours.

Content

What's inside is more than just rows and columns. Make it easy for others to get started by describing how you acquired the data and what time period it represents, too.

Acknowledgements

We wouldn't be here without the help of others. If you owe any attributions or thanks, include them here along with any citations of past research.

Inspiration

Your data will be in front of the world's largest data science community. What questions do you want to see answered?

Dataset

This dataset was created by Hashya Modhia

Released under CC0: Public Domain

Contents

It contains the following files:

Context

Titanic Dataset for checking the chance of survivals among passengers travelling during the same time.

Content

How priorities are set for the people saved on board ? What factors responsible for the ship to sink ?