Titanic Survival Predictor 🚢

A machine learning model that predicts whether a Titanic passenger would have survived, based on features like age, gender, class, and fare.

Results

| Model | Accuracy | |—|—| | Logistic Regression | 81.01% | | Random Forest | 82.12% |

Project Structure

titanic-survival-predictor/
├── data/               # Raw dataset
├── explore.py          # Data exploration & visualization
├── preprocess.py       # Data cleaning & feature engineering
├── train.py            # Model training & evaluation
├── predict.py          # Make predictions on new passengers
└── requirements.txt    # Dependencies

Setup

pip install -r requirements.txt

Dataset

Download titanic.csv from here and place it inside the data/ folder.

Usage

python predict.py

What I learned

• Data cleaning and handling missing values
• Feature engineering and label encoding
• Training and comparing ML models
• Evaluating with confusion matrix and classification report