Titanic Data Using Decision Tree Algorithm

📘 Overview

This project uses the famous Titanic dataset to predict passenger survival using the Decision Tree Algorithm. It demonstrates data preprocessing, feature selection, model training, and evaluation.

📊 Dataset

The Titanic dataset is available in Seaborn. It includes details like age, gender, class, fare, and survival status of passengers.

🧠 Algorithm Used

• Decision Tree Classifier

⚙️ Steps Involved

1. Load and explore the dataset from Seaborn.
2. Handle missing data and prepare features.
3. Train a Decision Tree model.
4. Evaluate accuracy and visualize results.

🧾 Results

The model successfully predicts passenger survival based on features such as age, gender, and passenger class.

🛠️ Tools Used

• Python
• Seaborn
• Pandas
• Scikit-learn
• Matplotlib