Naive Bayes is a widely used classification algorithm known for its simplicity and efficiency. This package takes naive Bayes to a higher level by providing more flexible and weighted variants, making ...

This project is a simple web application that uses a **Naive Bayes Classifier** to predict whether a movie review expresses a **positive** or **negative** sentiment. It is built using **Flask**, ...

In data analysis, time series forecasting relies on various machine learning algorithms, each with its own strengths. However, we will talk about two of the most used ones. Long Short-Term Memory ...

In real-world applications, datasets frequently contain outliers, which can hinder the generalization ability of machine learning models. Bayesian classifiers, a popular supervised learning method, ...

Abstract: 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 ...

Abstract: The naive Bayesian (NB) classifier is one of the simple yet powerful classification methods. One of the important problems in NB (and many other classifiers) is that it is built using crisp ...