https://github.com/alessine/predicting_pirate_attack_success
Using machine learning to predict the success or failure of pirate attacks; elaborated during the Data Science Bootcamp at Propulsion Academy
https://github.com/alessine/predicting_pirate_attack_success
bokeh fine-tuning interactive-visualizations machine-learning modelling overfitting plotly prediction scikit-learn
Last synced: about 2 months ago
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Using machine learning to predict the success or failure of pirate attacks; elaborated during the Data Science Bootcamp at Propulsion Academy
- Host: GitHub
- URL: https://github.com/alessine/predicting_pirate_attack_success
- Owner: Alessine
- Created: 2020-12-20T13:18:47.000Z (over 5 years ago)
- Default Branch: main
- Last Pushed: 2020-12-31T15:29:08.000Z (over 5 years ago)
- Last Synced: 2025-03-28T21:19:41.517Z (about 1 year ago)
- Topics: bokeh, fine-tuning, interactive-visualizations, machine-learning, modelling, overfitting, plotly, prediction, scikit-learn
- Language: Jupyter Notebook
- Homepage:
- Size: 14.1 MB
- Stars: 0
- Watchers: 1
- Forks: 1
- Open Issues: 0