This book is an introduction to machine learning using Python programming language with applications in finance and business. Coverages include the prediction methods of logistic regression, Naïve Bayes, k-Nearest Neighbor, Support Vector Machine, Random Forest, Gradient Boosting, and various types of Neural Networks. Performance measurements and assessments of feature importance are also explained. The book also contains detailed examples of the applications with data. Python codes are explained in a step-by-step manner using Jupyter Notebook so that the readers can practise on their own.
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Da: suffolkbooks, Center moriches, NY, U.S.A.
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Da: Rarewaves.com USA, London, LONDO, Regno Unito
Hardback. Condizione: New. This book is an introduction to machine learning using Python programming language with applications in finance and business. Coverages include the prediction methods of logistic regression, Naïve Bayes, k-Nearest Neighbor, Support Vector Machine, Random Forest, Gradient Boosting, and various types of Neural Networks. Performance measurements and assessments of feature importance are also explained. The book also contains detailed examples of the applications with data. Python codes are explained in a step-by-step manner using Jupyter Notebook so that the readers can practise on their own. Codice articolo LU-9789819811236
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Da: Revaluation Books, Exeter, Regno Unito
Hardcover. Condizione: Brand New. 270 pages. 7.50x5.98x9.02 inches. In Stock. This item is printed on demand. Codice articolo __9819811236
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
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