https://github.com/junsugun/naive_bayes_implementation
Implement a Naive Bayes Classifier from scratch using Bayesian statistics to predict Boston house classifications. 📊🏠 Tools include Pandas, Numpy, and Scikit-Learn.
https://github.com/junsugun/naive_bayes_implementation
bayes classification classification-model classifier clustering data-mining data-mining-algorithms laplace-smoothing machine-learning naive naive-bayes naive-bayes-algorithm naive-bayes-tutorial php prediction r ruby stopwords
Last synced: 3 months ago
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Implement a Naive Bayes Classifier from scratch using Bayesian statistics to predict Boston house classifications. 📊🏠 Tools include Pandas, Numpy, and Scikit-Learn.
- Host: GitHub
- URL: https://github.com/junsugun/naive_bayes_implementation
- Owner: JunsuGun
- Created: 2025-06-28T02:00:49.000Z (3 months ago)
- Default Branch: main
- Last Pushed: 2025-06-28T05:10:34.000Z (3 months ago)
- Last Synced: 2025-06-28T06:20:40.628Z (3 months ago)
- Topics: bayes, classification, classification-model, classifier, clustering, data-mining, data-mining-algorithms, laplace-smoothing, machine-learning, naive, naive-bayes, naive-bayes-algorithm, naive-bayes-tutorial, php, prediction, r, ruby, stopwords
- Language: Jupyter Notebook
- Homepage: https://junsugun.github.io
- Size: 177 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md