Whenever you perform classification, the first step is to understand the problem and identify potential features and label. Features are those characteristics or attributes which … 展开

Naive Bayes is a statistical classification technique based on Bayes Theorem. It is one of the simplest supervised learning algorithms. Naive Bayes classifier is the fast, accurate an… 展开

Let’s understand the working of Naive Bayes through an example. Given an example of weather conditions and playing sports. You need to calculate the probability of playing sports… 展开

Naive Bayes Classifier with Synthetic Dataset
In the first example, we will generate synthetic data using scikit-learn and train and evaluate th… 展开