developer-roadmap/src/data/roadmaps/data-analyst/content/111-machine-learning-basics/104-naive-bayes.md

Naive Bayes

As a data analyst, understanding various machine learning algorithms is crucial. Naive Bayes is one of such basic yet powerful algorithms used for predictive modeling and data classification. This algorithm applies the principles of probability and statistics, specifically Bayes' theorem, with a 'naive' assumption of independence among the predictors. Ideal for dealing with large volumes of data, Naive Bayes is a competitive algorithm for text classification, spam filtering, recommendation systems, and more. Understanding Naive Bayes can significantly improve the ability of a data analyst to create more effective models and deliver superior analytical results.