Machine Learning Model – Titanic Survival Prediction

Project: Machine Learning Model – Titanic Survival Prediction

Built a Logistic Regression model to predict passenger survival on the Titanic dataset using Scikit-learn.

The project included data preprocessing, feature encoding, model training, and performance evaluation with confusion matrix and classification report.

Achieved accuracy: ~78%.