Machine Learning and Web Scraping

So far, we have learned about data extraction, data storage, and acquiring and analyzing information from data by using a number of Python libraries. This chapter will provide you with introductory information on Machine Learning (ML) with a few examples.

Web scraping involves studying a website, identifying collectible data elements, and planning and processing a script to extract and collect data in datasets or files. This collected data will be cleaned and processed further to generate information or valuable insights. ML is a branch of Artificial Intelligence (AI) and generally deals with statistical and mathematical processes. ML is used to develop, train, and evaluate algorithms that can be automated, keep learning from the outputs, and minimize human intervention.

ML uses data to learn, predict, classify, and test situations, and for many other functions. Data is collected using web scraping techniques, so there is a correlation between...