Bayes’ Theorem provides a way that we can calculate the probability of a piece of data belonging to a given class. Bayes’ Theorem is stated as: P(class|data) = (P(data|class) * P(class)) / P(data) Where P(class|data) is the probability of class given the provided data. Naive Bayes is a classification algorithm for binary (two-class) and multiclass… Continue reading Naive Bayes Algorithm in Python
Tag: Python
Web scraping: implementation using Python
Web scraping is used to collect large information from websites.JIRA CODE – JJ – 134 Web scraping is an automated method used to extract large amounts of data from websites. The data on the websites are unstructured. Web scraping helps collect these unstructured data and store it in a structured form. Steps of Web Scrapping:… Continue reading Web scraping: implementation using Python