Have you ever wondered how your Gmail application automatically figures out that a certain message that you have received is spam and automatically puts it in the spam folder? Behind the email spam detector, a powerful machine learning algorithm is running, that automatically detects whether a particular email that you have received is spam or useful. This useful algorithm that runs behind the scenes and saves you wasted hours on deleting or checking these spam emails is Naive Bayes. As the name suggests, the algorithm is based on the bayes theorem. The algorithm is simple yet powerful, from the perspective of classification the algorithm figures out the probability of occurrence of each discrete class and it picks the value with the highest probability.
You might have wondered why the algorithm carries the word Naive in its name. It's because the algorithm makes some Naive assumptions that the features that are present in a dataset are independent of each other. Suppose...
