https://github.com/alrafiabdullah/titanic-kaggle-algorithms
https://github.com/alrafiabdullah/titanic-kaggle-algorithms
gradient-boosting logistic-regression multilayer-perceptron numpy pandas random-forest seaborn support-vector-machine
Last synced: 5 months ago
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- Host: GitHub
- URL: https://github.com/alrafiabdullah/titanic-kaggle-algorithms
- Owner: alrafiabdullah
- Created: 2022-10-03T17:14:43.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2022-10-03T17:15:44.000Z (over 3 years ago)
- Last Synced: 2024-03-30T20:37:27.588Z (about 2 years ago)
- Topics: gradient-boosting, logistic-regression, multilayer-perceptron, numpy, pandas, random-forest, seaborn, support-vector-machine
- Language: Jupyter Notebook
- Homepage:
- Size: 605 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Titanic Kaggle with Different Algorithms
## Requirements
- Create and activate a new Anaconda virtual environment.
- Run `pip3 install -r reqiurements.txt`.
- Check `main.ipynb` for model training and evaluation.
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## Comparison Image
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