This book will provide you overarching guidance on how you can use Python to develop machine learning models using Scikit-Learn, the most widely used Python-based machine learning library. Python programming, data analysis, and machine learning are widely credited in the birth of the powerhouse, which is the “Silicon Valley.” To become a machine learning expert, a sound and in-depth understanding of every nuance of this area is critical. With the use of free and open-source machine learning library, Scikit-Learn, you can easily access free data sets and get hands-on experience on the fundamentals of machine learning and the underlying challenges and limitations of engineering machines to ‘think.’ Some of the highlights of the book include:
All the concepts are explained with standard Python coding syntax supported with relevant examples and followed by exercises to help you test and verify your understanding of those concepts. Finally, as an added bonus you will learn some Python tips and tricks to take your machine learning programming game to the next level. Remember, knowledge is power, and with the great power you will gather from this book, you will be armed to make sound personal and professional technological choices. Your Python programming skillset will improve drastically, and you will be poised to develop your very own machine learning model!
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