https://github.com/faisal-khann/titanic-survival-predictor

https://github.com/faisal-khann/titanic-survival-predictor

Last synced: 3 months ago
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• Host: GitHub
• URL: https://github.com/faisal-khann/titanic-survival-predictor
• Owner: Faisal-khann
• License: mit
• Created: 2025-07-19T10:28:38.000Z (3 months ago)
• Default Branch: main
• Last Pushed: 2025-07-19T11:59:00.000Z (3 months ago)
• Last Synced: 2025-07-19T15:38:59.997Z (3 months ago)
• Language: Python
• Size: 3.7 MB
• Stars: 0
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Titanic Survival Prediction – ML Web App

A complete end-to-end machine learning project using the Titanic dataset from Kaggle. This project includes data cleaning, feature engineering, model comparison, hyperparameter tuning, and deployment using Streamlit.

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## Features

- Full Exploratory Data Analysis (EDA)

- Feature Engineering (`FamilySize`, `IsAlone`)

- Data preprocessing: Handling missing values, encoding, scaling

- Model Comparison: Logistic Regression, SVM, Random Forest, KNN, Decision Tree

- Hyperparameter tuning using GridSearchCV

- Evaluation: Accuracy, Confusion Matrix, Classification Report

- Visualizations: Age distribution, survival by class/gender, etc.

- Deployment via **Streamlit**

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## Live App

👉 [Click here to try the app](https://faisal-khann-titanic-survival-predictor-app-hywqlp.streamlit.app/)

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## Project Structure

    ├── titanic_app.py # Streamlit app

    ├── titanic_model.pkl # Trained ML model

    ├── requirements.txt # Python dependencies

    ├── titanic_training.ipynb # EDA + training notebook

    └── README.md # This file

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## Tech Stack

- Python

- pandas, numpy

- seaborn, matplotlib

- scikit-learn

- Streamlit

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## How It Works

1. User enters passenger details

2. Model predicts survival (1 = Survived, 0 = Did not survive)

3. Output is shown live via Streamlit UI

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## Contact

Faisal Khan

[LinkedIn](http://www.linkedin.com/in/faisal-khan-332b882bb) | [GitHub](https://github.com/Faisal-khann)

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## 📌 License

This project is for educational purposes.