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Titanic Survival Prediction Model

Python Pandas Scikit-learn

This Python script implements a machine learning model to predict survival on the Titanic using the Titanic dataset. It employs Random Forest classifiers to generate predictions.

Find the Dataset here: https://www.kaggle.com/competitions/titanic

Features

  • Random Forest model for prediction
  • Processes the Titanic dataset
  • Outputs predictions to a CSV file

Requirements

  • Python 3.6+
  • pandas
  • scikit-learn
  • numpy

Install the required packages with:

pip install pandas scikit-learn numpy

Usage

Place train.csv and test.csv in the same directory as the script.

Run the script with:

python3 main.py

Predictions will be saved to prediction.csv.

Output

The generated prediction.csv includes:

PassengerId: ID of the passenger

Survived: Predicted survival (0 = not survived, 1 = survived)

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