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Pydantic Contracts: Advanced validation patterns and system-wide data integrity for large-scale applications (The Pydantic Engineering Series: A ... design, and intelligent systems with Python.)
Book 3 of 3: The Pydantic Engineering Series: A complete guide to validated data, structured design, and intelligent systems with Python.Condition: New. Print on Demand.
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Python: Advanced Predictive Analytics: Gain practical insights by exploiting data in your business to build advanced predictive modeling applications
Language: English
Published by Packt Publishing 2017-12-27, 2017
ISBN 10: 1788992369 ISBN 13: 9781788992367
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Python: Advanced Predictive Analytics: Gain practical insights by exploiting data in your business to build advanced predictive modeling applications
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Python: Advanced Predictive Analytics: Gain practical insights by exploiting data in your business to build advanced predictive modeling applications
Language: English
Published by Packt Publishing 2017-12-27, 2017
ISBN 10: 1788992369 ISBN 13: 9781788992367
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Python: Advanced Predictive Analytics: Gain practical insights by exploiting data in your business to build advanced predictive modeling applications
Language: English
Published by Packt Publishing Limited, 2017
ISBN 10: 1788992369 ISBN 13: 9781788992367
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Python: Advanced Predictive Analytics: Gain practical insights by exploiting data in your business to build advanced predictive modeling applications
Language: English
Published by Packt Publishing Limited, 2017
ISBN 10: 1788992369 ISBN 13: 9781788992367
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Advanced Applications of Python Data Structures and Algorithms
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Advanced Interdisciplinary Applications of Machine Learning Python Libraries for Data Science
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Advanced Applications of Python Data Structures and Algorithms
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Advanced Interdisciplinary Applications of Machine Learning Python Libraries for Data Science
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Advanced Applications of Python Data Structures and Algorithms
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Advanced Interdisciplinary Applications of Machine Learning Python Libraries for Data Science
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Advanced Applications of Python Data Structures and Algorithms
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Advanced Interdisciplinary Applications of Machine Learning Python Libraries for Data Science
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Advanced Applications of Python Data Structures and Algorithms
Language: English
Published by Engineering Science Reference, 2023
ISBN 10: 1668471019 ISBN 13: 9781668471012
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Python: Advanced Predictive Analytics: Gain practical insights by exploiting data in your business to build advanced predictive modeling applications
Language: English
Published by Packt Publishing, Limited, 2017
ISBN 10: 1788992369 ISBN 13: 9781788992367
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Python: Advanced Predictive Analytics: Gain practical insights by exploiting data in your business to build advanced predictive modeling applications
Language: English
Published by Packt Publishing Limited, 2017
ISBN 10: 1788992369 ISBN 13: 9781788992367
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Taschenbuch. Condition: Neu. Python | Advanced Predictive Analytics: Gain practical insights by exploiting data in your business to build advanced predictive modeling applications | Ashish Kumar (u. a.) | Taschenbuch | Kartoniert / Broschiert | Englisch | 2017 | Packt Publishing | EAN 9781788992367 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Learn the art of regression analysis with PythonKey FeaturesBecome competent at implementing regression analysis in PythonSolve some of the complex data science problems related to predicting outcomesGet to grips with various types of regression for effective data analysisBook DescriptionRegression is the process of learning relationships between inputs and continuous outputs from example data, which enables predictions for novel inputs. There are many kinds of regression algorithms, and the aim of this book is to explain which is the right one to use for each set of problems and how to prepare real-world data for it. With this book you will learn to define a simple regression problem and evaluate its performance. The book will help you understand how to properly parse a dataset, clean it, and create an output matrix optimally built for regression. You will begin with a simple regression algorithm to solve some data science problems and then progress to more complex algorithms. The book will enable you to use regression models to predict outcomes and take critical business decisions. Through the book, you will gain knowledge to use Python for building fast better linear models and to apply the results in Python or in any computer language you prefer.What You Will LearnFormat a dataset for regression and evaluate its performanceApply multiple linear regression to real-world problemsLearn to classify training pointsCreate an observation matrix, using different techniques of data analysis and cleaningApply several techniques to decrease (and eventually fix) any overfitting problemLearn to scale linear models to a big dataset and deal with incremental dataWho This Book Is ForThe book targets Python developers, with a basic understanding of data science, statistics, and math, who want to learn how to do regression analysis on a dataset. It is beneficial if you have some knowledge of statistics and data science./p>''.
