Ultimate Machine Learning with Scikit-Learn

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Title: Ultimate Machine Learning with Scikit-Learn
Description: “Ultimate Machine Learning with Scikit-Learn” is a definitive resource that offers an in-depth exploration of data preparation, modeling techniques, and the theoretical foundations behind powerful machine learning algorithms using Python and Scikit-Learn. Beginning with foundational techniques, you'll dive into essential skills for effective data preprocessing, setting the stage for robust analysis. Next, logistic regression and decision trees equip you with the tools to delve deeper into predictive modeling, ensuring a solid understanding of fundamental methodologies. You will master time series data analysis, followed by effective strategies for handling unstructured data using techniques like Naive Bayes. Transitioning into real-time data streams, you'll discover dynamic approaches with K-nearest neighbors for high-dimensional data analysis with Support Vector Machines(SVMs). Alongside, you will learn to safeguard your analyses against anomalies with isolation forests and harness the predictive power of ensemble methods, in the domain of stock market data analysis. By the end of the book you will master the art of data engineering and ML pipelines, ensuring you're equipped to tackle even the most complex analytics tasks with confidence.
Authors: Parag Saxena
Resource Type: eBook.
Subjects: Language and languages, Machine learning, Expert systems (Computer science), Artificial intelligence, Computers, Python (Computer program language), Electronic books
Categories: COMPUTERS / Data Science / Machine Learning
Database: eBook Collection (EBSCOhost)
FullText Links:
  – Type: ebook-pdf
  – Type: ebook-epub
Text:
  Availability: 0
Header DbId: nlebk
DbLabel: eBook Collection (EBSCOhost)
An: 3894059
RelevancyScore: 1123
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 1122.83581542969
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  Data: Ultimate Machine Learning with Scikit-Learn
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  Data: “Ultimate Machine Learning with Scikit-Learn” is a definitive resource that offers an in-depth exploration of data preparation, modeling techniques, and the theoretical foundations behind powerful machine learning algorithms using Python and Scikit-Learn. Beginning with foundational techniques, you'll dive into essential skills for effective data preprocessing, setting the stage for robust analysis. Next, logistic regression and decision trees equip you with the tools to delve deeper into predictive modeling, ensuring a solid understanding of fundamental methodologies. You will master time series data analysis, followed by effective strategies for handling unstructured data using techniques like Naive Bayes. Transitioning into real-time data streams, you'll discover dynamic approaches with K-nearest neighbors for high-dimensional data analysis with Support Vector Machines(SVMs). Alongside, you will learn to safeguard your analyses against anomalies with isolation forests and harness the predictive power of ensemble methods, in the domain of stock market data analysis. By the end of the book you will master the art of data engineering and ML pipelines, ensuring you're equipped to tackle even the most complex analytics tasks with confidence.
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RecordInfo BibRecord:
  BibEntity:
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Language and languages
        Type: general
      – SubjectFull: Machine learning
        Type: general
      – SubjectFull: Expert systems (Computer science)
        Type: general
      – SubjectFull: Artificial intelligence
        Type: general
      – SubjectFull: Computers
        Type: general
      – SubjectFull: Python (Computer program language)
        Type: general
      – SubjectFull: Electronic books
        Type: general
    Titles:
      – TitleFull: Ultimate Machine Learning with Scikit-Learn
        Type: main
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          Name:
            NameFull: Parag Saxena
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            NameFull: Parag Saxena
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2024
            – D: 29
              M: 07
              Type: profile
              Y: 2025
          Identifiers:
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              Value: 9788197223945
            – Type: isbn-electronic
              Value: 9788197223990
          Titles:
            – TitleFull: Ultimate Machine Learning with Scikit-Learn
              Type: main
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