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https://github.com/jibbs1703/predicting-titanic-survivors
This project uses several machine learning models in predicting survivors of the titanic disaster of 1912. The best of the choice models is then saved and deployed to a simple web application that allows users input different features and get a survival/ no survival prediction.
https://github.com/jibbs1703/predicting-titanic-survivors
classification-models data-cleaning data-visualization data-wrangling feature-engineering model-deployment predictive-modeling streamlit web-application
Last synced: 2 months ago
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This project uses several machine learning models in predicting survivors of the titanic disaster of 1912. The best of the choice models is then saved and deployed to a simple web application that allows users input different features and get a survival/ no survival prediction.
- Host: GitHub
- URL: https://github.com/jibbs1703/predicting-titanic-survivors
- Owner: jibbs1703
- Created: 2024-02-27T12:09:02.000Z (11 months ago)
- Default Branch: main
- Last Pushed: 2024-04-20T00:16:48.000Z (9 months ago)
- Last Synced: 2024-04-20T01:29:04.673Z (9 months ago)
- Topics: classification-models, data-cleaning, data-visualization, data-wrangling, feature-engineering, model-deployment, predictive-modeling, streamlit, web-application
- Language: Jupyter Notebook
- Homepage:
- Size: 185 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md