GitHub

This project demonstrates a Naive Bayes Classifier using Python and scikit-learn.

There was an error while loading. Please reload this page. It calculates the probability of a class given some features and chooses the class with the highest ...
Visual Studio Magazine

Naive Bayes Classification Using Python

Naive Bayes classification is a machine learning technique that can be used to predict the class of an item based on two or more categorical predictor variables. For example, you might want to predict ...
GitHub

TITANIC-SURVIVE-PREDICTION-USING-EDA-AND-NAIVE-BAYES-CLASSIFIERS

📘 Overview This project analyzes the Titanic dataset to predict the survival of passengers based on different features such as age, gender, class, and embarkation point. It combines Exploratory Data ...
Digit

Using Intel Data Analytics Acceleration Library to Improve the Performance of Naïve Bayes Algorithm in Python

How do they do it? Netflix is able to recommend videos to customers from past viewing experience. Amazon uses data from shopper viewing and buying histories to suggests products that shoppers might ...
Scientific American

What is Bayes's theorem, and how can it be used to assign probabilities to questions such as the existence of God? What scientific value does it have?

Chris Wiggins, an associate professor of applied mathematics at Columbia University, offers this explanation. A patient goes to see a doctor. The doctor performs a test with 99 percent ...
Investopedia

Bayes' Theorem: What It Is, Formula, and Examples

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...
Scientific American

Bayes's Theorem: What's the Big Deal?

This article was published in Scientific American’s former blog network and reflects the views of the author, not necessarily those of Scientific American I’m not sure when I first heard of Bayes’ ...