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A machine learning project that predicts passenger survival on the Titanic using various ML algorithms.
This project implements multiple machine learning models to predict whether a passenger survived the Titanic disaster based on features like age, sex, ticket class, and more.
- Logistic Regression
- Support Vector Machine
- K-Nearest Neighbors
- Gaussian Naive Bayes
- Perceptron
- Stochastic Gradient Descent
- Decision Tree
- Random Forest