Machine learning is a field that has become increasingly popular in recent years. At the same time, Python has gradually become one of the mainstream programming languages after a period of development. This book combines the two popular fields of machine learning and Python, and explains in detail how to build real machine learning applications through easy-to-understand projects. The book has 10 chapters. Chapter 1 explains the ecosystem of Python machine learning, and the remaining 9 chapters introduce many algorithms related to machine learning, including clustering algorithms, recommendation engines, etc., mainly including the application of machine learning in apartments, air tickets, IPO markets, news sources, content promotion, stock markets, images, chatbots, and recommendation engines. This book is suitable for Python programmers, data analysts, readers interested in algorithms, practitioners in the field of machine learning, and researchers.
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