Decision trees are useful for relatively small datasets that have a relatively simple underlying structure, and when the trained model must be easily interpretable, explains Dr. James McCaffrey of ...

Gaussian Naive Bayes is an algorithm having a Probabilistic Approach. It involves prior and posterior probability calculation of the classes in the dataset and the test data given a class respectively ...

In today’s data-driven world, handling diverse data types like images, tables, or text has become a norm. However, combining these varied data sets to extract meaningful insights often poses a ...