Classification Model for Titanic Dataset

Developed a Titanic survival prediction model using Python and machine learning techniques. The project involved data exploration, preprocessing, feature encoding, and model training to classify passengers based on survival likelihood. Applied Logistic Regression and evaluated performance using metrics such as accuracy, confusion matrix, and ROC-AUC score.