https://github.com/noturlee/titanic-datamodel
This project demonstrates the process of data preprocessing, model training, evaluation, and tuning in building a predictive model for a classic dataset. The Random Forest model, with its ability to handle complex relationships and interactions between features, proved to be the most effective in this case.
https://github.com/noturlee/titanic-datamodel
data-modeling data-science data-visualization python
Last synced: about 1 year ago
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This project demonstrates the process of data preprocessing, model training, evaluation, and tuning in building a predictive model for a classic dataset. The Random Forest model, with its ability to handle complex relationships and interactions between features, proved to be the most effective in this case.
- Host: GitHub
- URL: https://github.com/noturlee/titanic-datamodel
- Owner: noturlee
- License: mit
- Created: 2024-06-14T11:29:18.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2024-06-14T13:47:53.000Z (about 2 years ago)
- Last Synced: 2025-04-08T11:46:14.979Z (about 1 year ago)
- Topics: data-modeling, data-science, data-visualization, python
- Language: Python
- Homepage:
- Size: 177 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
- Security: SECURITY.md