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Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Da: Rarewaves.com USA, London, LONDO, Regno Unito
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 300,00
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 288,57
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Da: GreatBookPrices, Columbia, MD, U.S.A.
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 319,33
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Da: Rarewaves.com UK, London, Regno Unito
EUR 285,31
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Aggiungi al carrelloPaperback. Condizione: New.
Lingua: Inglese
Editore: Engineering Science Reference, 2023
ISBN 10: 1668486962 ISBN 13: 9781668486962
Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 655,63
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EUR 302,36
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Da: preigu, Osnabrück, Germania
EUR 284,30
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Advanced Interdisciplinary Applications of Machine Learning Python Libraries for Data Science | Soly Mathew Biju (u. a.) | Taschenbuch | Englisch | 2023 | IGI Global | EAN 9781668486979 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. Print on Demand.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 337,65
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The world is approaching a point where big data will start to play a beneficial role in many industries and organizations. Today, analyzing data for new insights has become an everyday norm, increasing the need for data analysts to use efficient and appropriate tools to provide quick and valuable results to clients. Existing research in the field currently lacks a full coverage of all essential algorithms, leaving a knowledge void for practical implementation and code in Python with all needed libraries and links to datasets used. Advanced Interdisciplinary Applications of Machine Learning Python Libraries for Data Science serves as a one-stop book to help emerging data scientists gain hands-on skills needed through real-world data and completely up-to-date Python code. It covers all the technical details, from installing the needed software to importing libraries and using the latest data sets; deciding on the right model; training, testing, and evaluating the model; and including NumPy, Pandas, and matplotlib. With coverage on various machine learning algorithms like regression, linear and logical regression, classification, support vector machine (SVM), clustering, k-nearest neighbor, market basket analysis, Apriori, k-means clustering, and visualization using Seaborne, it is designed for academic researchers, undergraduate students, postgraduate students, executive education program leaders, and practitioners.
Da: Majestic Books, Hounslow, Regno Unito
EUR 432,22
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Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 435,45
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Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 386,76
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Aggiungi al carrelloBuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The world is approaching a point where big data will start to play a beneficial role in many industries and organizations. Today, analyzing data for new insights has become an everyday norm, increasing the need for data analysts to use efficient and appropriate tools to provide quick and valuable results to clients. Existing research in the field currently lacks a full coverage of all essential algorithms, leaving a knowledge void for practical implementation and code in Python with all needed libraries and links to datasets used. Advanced Interdisciplinary Applications of Machine Learning Python Libraries for Data Science serves as a one-stop book to help emerging data scientists gain hands-on skills needed through real-world data and completely up-to-date Python code. It covers all the technical details, from installing the needed software to importing libraries and using the latest data sets; deciding on the right model; training, testing, and evaluating the model; and including NumPy, Pandas, and matplotlib. With coverage on various machine learning algorithms like regression, linear and logical regression, classification, support vector machine (SVM), clustering, k-nearest neighbor, market basket analysis, Apriori, k-means clustering, and visualization using Seaborne, it is designed for academic researchers, undergraduate students, postgraduate students, executive education program leaders, and practitioners.