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Refresh. Predict survival on the Titanic and get familiar with ML basics.
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.
Apr 9, 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.
The Titanic Data Science Project seeks to predict passenger survival outcomes from the infamous 1912 disaster using machine learning. Our goal is to identify key survival determinants by analyzing a dataset that includes age, gender, class, and fare, among other variables.
Exploring Passenger Profiles and Survival Rates aboard the RMS Titanic.
Updated Jan 21, 2023. Jupyter Notebook. amberkakkar01 / Titanic-Survival-Prediction. Star 26. Code. Issues. Pull requests. Using Machine learning algorithm on the famous Titanic Disaster Dataset for Predicting the survival of the passenger.
Feb 12, 2023 · Dataset describing the survival status of individual passengers on the Titanic. Missing values in the original dataset are represented using ?. Float and int missing values are replaced with -1, string missing values are replaced with 'Unknown'.
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...
Jan 2, 2018 · This data set contains the survival status of 1309 passengers aboard the maiden voyage of the RMS Titanic in 1912 (the ships crew are not included), along with the passengers age, sex and class (which serves as a proxy for economic status). 70% of the data was selected (using stratified sampling) for the training set.
