The Titanic dataset is a classic playground for data scientists . It involves predicting passenger survival on the ill-fated ship based on various features . This task falls under the umbrella of classification in data science, where we aim to assign each passenger to one of two classes: survived or did not survive

This is my project on applying classification models to the Titanic dataset.

ML project focused on predicting Titanic passenger survival using various algorithms and extensive data analysis techniques. This project includes detailed data visualization and interpretation to uncover key factors affecting survival. By leveraging various ML models the analysis aims to achieve high predictive accuracy.

Titanic classification predicts survival based on passenger data. Using machine learning algorithms, it analyzes features like age, gender, and class in a labeled dataset. The goal is to create a model that accurately classifies new data, reflecting the likelihood of survival in a Titanic-like scenario.