Titanic Survival Prediction

This project uses the [Titanic - Machine Learning from Disaster] dataset from Kaggle to predict passenger survival using Gradient Boosting Classifier.

Features

• Cleaned dataset (removed unnecessary columns, handled missing values)
• Converted categorical features (Sex, Embarked) to numerical using one-hot encoding
• Trained model using GradientBoostingClassifier from scikit-learn
• Evaluated using:
  • Accuracy
  • Classification Report
  • Confusion Matrix

Tools

• Python
• pandas
• scikit-learn
• numpy