This repository contains a machine learning project for predicting the survival of passengers aboard the Titanic. The sinking of the Titanic in 1912 is a well-known tragedy, and this project aims to predict whether a given passenger would have survived based on various attributes.
The dataset used for this project is the famous "Titanic: Machine Learning from Disaster"
dataset, which can be found on Kaggle. It consists of two CSV files: train.csv
and test.csv
. The train.csv
file contains the training data with known labels (survived or not), while the test.csv
file contains the test data without labels, which are to be predicted by the trained model.