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: 3 days 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 (5 months ago)
• Default Branch: main
• Last Pushed: 2024-06-14T13:47:53.000Z (5 months ago)
• Last Synced: 2024-10-11T14:31:16.640Z (27 days ago)
• Topics: data-modeling, data-science, data-visualization, python
• Language: Python
• Homepage:
• Size: 177 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE
  • Security: SECURITY.md

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