This page focuses on a supervised machine learning method called Naive Bayes. While there are many options for Naive Bayes, this page focuses on making models for qualitative and quantitative data in R, and for text data in python, while using a few different alpha parameters, creating excellent visual illustrations, and making confusion matrices to calculate accuracy.
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title: Naïve Bayes
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<b>This page focuses on a supervised machine learning method called Naive Bayes. While there are many options for Naive Bayes, this page focuses on making models for qualitative and quantitative data in R, and for text data in python, while using a few different alpha parameters, creating excellent visual illustrations, and making confusion matrices to calculate accuracy.</b>
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<a href="./naive_bayes_r.html" class="btn-download" style="background-color: #a5cf6d; border-radius: 10px; box-shadow: 3px 3px rgba(128, 128, 128, 0.3); color: #f7f6e7; padding: 20px; margin: 170px; text-decoration: none;">Naïve Bayes using R</a>
<a href="./naive_bayes_python.html" class="btn-download" style="background-color: #a5cf6d; border-radius: 10px; box-shadow: 3px 3px rgba(128, 128, 128, 0.3); color: #f7f6e7; padding: 20px; margin: 170px; text-decoration: none;">Naïve Bayes using Python</a>
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