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Mastering Predictive Analytics with scikit-learn and TensorFlow: Implement machine learning techniques to build advanced predictive models using Python - Softcover
Synopsis
Learn advanced techniques to improve the performance and quality of your predictive models
Key Features
- Use ensemble methods to improve the performance of predictive analytics models
- Implement feature selection, dimensionality reduction, and cross-validation techniques
- Develop neural network models and master the basics of deep learning
Book Description
Python is a programming language that provides a wide range of features that can be used in the field of...
About the Author
Alvaro Fuentes is a Data Scientist with more than 12 years of experience in analytical roles, he holds a M.S. in Applied Mathematics and a M.S. in Quantitative Economics. He worked for many years in the Central Bank of Guatemala as an Economic Analyst, building models for economic and financial data. He founded Quant Company to provide consulting and training services in Data Science topics and has...
"About this title" may belong to another edition of this title.
- PublisherPackt Publishing
- Publication date2018
- ISBN 10 178961774X
- ISBN 13 9781789617740
- BindingPaperback
- LanguageEnglish
- Number of pages154
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Mastering Predictive Analytics with scikit-learn and TensorFlow: Implement machine learning techniques to build advanced predictive models using Python
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Packt Publishing 2018-09-29, 2018
ISBN 10: 178961774X
ISBN 13: 9781789617740
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Mastering Predictive Analytics with scikit-learn and TensorFlow: Implement machine learning techniques to build advanced predictive models using Python
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ISBN 10: 178961774X
ISBN 13: 9781789617740
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. In this book, you will find a range of methods to improve the performance of almost any predictive model, from ensemble methods to dimensionality reduction and cross-validation. You will learn the tools to produce advanced predictive models. In addition, yo. Seller Inventory # 448332111
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