https://github.com/jimmymugendi/titanic-survival-prediction-using-machine-learning

An advanced machine learning project deploying a model for Titanic passenger survival prediction, including deployment on ngrok for easy access.
https://github.com/jimmymugendi/titanic-survival-prediction-using-machine-learning

deployment-tools machine-learning modelevaluation modeltraining pandas-python plots seaborn

Last synced: about 7 hours ago
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An advanced machine learning project deploying a model for Titanic passenger survival prediction, including deployment on ngrok for easy access.

• Host: GitHub
• URL: https://github.com/jimmymugendi/titanic-survival-prediction-using-machine-learning
• Owner: Jimmymugendi
• Created: 2024-02-27T13:49:29.000Z (9 months ago)
• Default Branch: main
• Last Pushed: 2024-02-27T14:35:27.000Z (9 months ago)
• Last Synced: 2024-02-27T15:40:16.584Z (9 months ago)
• Topics: deployment-tools, machine-learning, modelevaluation, modeltraining, pandas-python, plots, seaborn
• Language: Jupyter Notebook
• Homepage:
• Size: 25.4 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Titanic-Survival-Prediction-Using-Machine-Learning

This project explores the Titanic dataset to predict passenger survival using machine learning. It covers data preprocessing, exploratory data analysis, feature engineering, model selection, and deployment. The predictive model is deployed using Flask and Ngrok, allowing for real-time predictions. The repository includes Jupyter notebooks, Python scripts, and a trained model for replication and further development