Introduction to Naive Bayes Classification Algorithm in Python and R | HackerEarth Blog

Naive Bayes is a machine learning algorithm for classification problems. It is based on Bayes’ probability theorem. It is primarily used for text classification which involves high dimensional training data sets. A few examples are spam filtration, sentimental analysis, and classifying news articles. It is not only known for its simplicity, but also for its […]

Source: Introduction to Naive Bayes Classification Algorithm in Python and R | HackerEarth Blog

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