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Awesome GitHub RepositoriesProbabilistic Classifier Guides
Tutorials on applying Naive Bayes classifiers.
Distinguishing note: Focuses on the application of multinomial models for text.
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- jakevdp/PythonDataScienceHandbook
jakevdp/PythonDataScienceHandbook
46,802View on GitHubThis project is an interactive data science environment that combines code execution, rich media visualization, and narrative documentation into a persistent, browser-based platform. It serves as a comprehensive educational resource for scientific computing, providing a framework for iterative data analysis and machine learning prototyping. The environment is distinguished by its focus on high-performance numerical computing, utilizing vectorized array operations and memory-mapped data structures to handle large-scale computations efficiently. It features a unified estimator interface that st
Uses probabilistic classifiers suitable for discrete feature counts, such as word frequencies in text.
Jupyter Notebookjupyter-notebookmatplotlibnumpy
