Titanic Survival Prediction

Project Overview

This project predicts whether a passenger survived the Titanic disaster using a Decision Tree Classifier.

Dataset

• Titanic Dataset
• 891 passenger records
• 12 features

Steps Performed

• Loaded dataset using Pandas
• Explored the data
• Handled missing values
• Removed unnecessary columns
• Split data into training and testing sets
• Trained a Decision Tree Classifier
• Evaluated model performance
• Predicted survival for a new passenger

Technologies Used

• Python
• Pandas
• Scikit-learn
• Jupyter Notebook

Model Accuracy

Accuracy: 65.36%

Project Structure

complete machine learning workflow, including data preprocessing, model training, evaluation, and prediction using Python.