GitHub / halfdeb / Text-Classifier-using-self-implemented-Naive-Bayes-
Explore the world of text classification with this project that showcases a text classifier built from the ground up using a self-implemented Naive Bayes algorithm. Leveraging the 20 Newsgroups dataset from scikit-learn, this project guides you through the process of data exploration, preprocessing, and model training.
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PURL: pkg:github/halfdeb/Text-Classifier-using-self-implemented-Naive-Bayes-
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License: None
Language: Jupyter Notebook
Size: 51.8 KB
Dependencies parsed at: Pending
Created at: over 1 year ago
Updated at: over 1 year ago
Pushed at: over 1 year ago
Last synced at: over 1 year ago
Topics: machine-learning, naive-bayes-classifier, textclassification