https://github.com/apfirebolt/titanic_survival_prediction

Titanic survival prediction GUI application using scikit-learn and PyQT5
https://github.com/apfirebolt/titanic_survival_prediction

jupyter-notebook pandas prediction pyqt5 python scikit-learn titanic-kaggle

Last synced: 13 days ago
JSON representation

Titanic survival prediction GUI application using scikit-learn and PyQT5

• Host: GitHub
• URL: https://github.com/apfirebolt/titanic_survival_prediction
• Owner: Apfirebolt
• Created: 2025-01-19T04:51:04.000Z (19 days ago)
• Default Branch: main
• Last Pushed: 2025-01-19T05:23:16.000Z (19 days ago)
• Last Synced: 2025-01-19T06:24:35.493Z (19 days ago)
• Topics: jupyter-notebook, pandas, prediction, pyqt5, python, scikit-learn, titanic-kaggle
• Language: Python
• Homepage:
• Size: 720 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
![Python](https://img.shields.io/badge/Python-3.8-blue)

![scikit-learn](https://img.shields.io/badge/scikit--learn-0.24-orange)

![pandas](https://img.shields.io/badge/pandas-1.2.3-green)

![PyQt5](https://img.shields.io/badge/PyQt5-5.15.2-red)

# Titanic Survival Prediction

This is my first attempt at building a prediction application. This app uses popular Titanic dataset and models from scikit-learn to predict the survival rate of a person given age and sex as input.

# Features

The GUI made using pyQT5 reads the dataset and shows the data in a tabular format with pagination. 

# Screenshots

This shows the main window of the application

![Screenshot 1](screenshots/1.png)

This shows the result of prediction made for a male aged 32 years.

![Screenshot 2](screenshots/2.png)