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Get insight into Data Science techniques such as Data Engineering and visualization, statistical modeling, machine learning, and deep learning.
The book covers parametric methods or linear models that comba.
Each chapter includes a set of examples allowing you to understand the concepts, assumptions, and procedures behind each model.
This book teaches you how to select variables, optimize hyper parameters, develop pipelines, and train, test, and validate machine and deep learning models.
Get insight into Data Science techniques such as Data Engineering and visualization, statistical modeling, machine learning, and deep learning
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