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Chapman Hall

From Concepts to Code Introduction to Data Science | Statistics

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The breadth of problems that can be solved with data science is astonishing and this book provides the required tools and skills for a broad audience. The reader takes a journey into the forms uses and abuses of data and models and learns how to critically examine each step. Python coding and data analysis skills are built from the ground up with no prior coding experience assumed. The necessary background in computer science mathematics and statistics is provided in an approachable manner. Each step of the machine learning lifecycle is discussed from business objective planning to monitoring a model in production. This end-to-end approach supplies the broad view necessary to sidestep many …

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