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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, ...
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