Distributed Machine Learning with PySpark: Migrating Effortlessly from Pandas and Scikit-Learn

© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2023

A. TestasDistributed Machine Learning with PySparkhttps://doi.org/10.1007/978-1-4842-9751-3_11

11. Naive Bayes Classification with Pandas, Scikit-Learn, and PySpark

Abdelaziz Testas¹  

(1)

Fremont, CA, USA

 

This chapter focuses on the development, training, and evaluation of a Naive Bayes algorithm. Naive Bayes classification is a well-known supervised machine learning technique widely recognized for its simplicity and ease of implementation in classification tasks. It is computationally efficient, making it suitable for large datasets and real-time applications. It can work well with relatively small datasets because it relies on simple probability calculations. ...