This project aims to predict the survival of passengers aboard the Titanic using the Naive Bayes classifier algorithm. The dataset used in this project contains information about Titanic passengers, ...

Naive Bayes is a term that is used for classification algorithms that are based on Bayes Theorem. It is a simple yet effective and commonly-used machine learning classifier that makes classifications ...

Naive Bayes models are very useful when we want to analyze sentiment, classify texts into topics or recommendations, as the characteristics of these challenges meet the theoretical and methodological ...

In addition to setting the stage for techniques to be used over and over again throughout the remaining tutorials, this tutorial introduces the notion of Density Estimation as an important operation, ...

In the design of conventional Bayes network classifiers (e.g. Naive Bayes Classifier, Tree Augment Naive Bayes classifier), the network classifier structures are always fixed. Such network structures ...

The naive Bayesian (NB) classifier is one of the simple but most efficient and stable classification methods. The great efficiency of NB is mainly because of the conditionally independence assumption ...