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Ultimate Machine Learning with Scikit-Learn: Unleash the Power of Scikit-Learn and Python to Build Cutting-Edge Predictive Modeling Applications and ... Learning Engineer (ML) Advanced Path)
Step into the future of data science with machine learning with Scikit-Learn for Python developers.
Ultimate Machine Learning with Scikit-Learn: Unleash the Power of Scikit-Learn and Python to Build Cutting-Edge Predictive Modeling Applications and ... Learning Engineer (ML) Advanced Path)
Item #: 91464453

Ultimate Machine Learning with Scikit-Learn: Unleash the Power of Scikit-Learn and Python to Build Cutting-Edge Predictive Modeling Applications and

Item #: 91464453

JOD 36

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Step into the future of data science with machine learning with Scikit-Learn for Python developers.
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What Stands Out

Comprehensive Coverage
Offers in-depth insights into Scikit-Learn's functionalities, making it perfect for both beginners and advanced users eager to master predictive modeling techniques.
Practical Applications
Focuses on real-world use cases, empowering learners to apply machine learning concepts effectively in various industries, enhancing career opportunities in the data science field.
Expert Guidance
Written by experienced professionals, this resource provides valuable tips and best practices, ensuring readers can navigate complex modeling challenges confidently and efficiently.

Product Details

Shop Ultimate Machine Learning with Scikit-Learn: Unleash the Power of Scikit-Learn and Python to Build Cutting-Edge Predictive Modeling Applications and ... Learning Engineer (ML) Advanced Path) online at a best price in Jordan. 8197223947
Publisher Orange Education Pvt. Ltd
Publication date May 6, 2024
Language English
Print length 395 pages
ISBN-10 8197223947
ISBN-13 978-8197223945
Item Weight 1.87 pounds (850 grams)
Dimensions 7.5 x 0.89 x 9.25 inches (19.1 x 2.3 x 23.5 cm)
Book 2 of 2 Machine Learning Engineer (ML) u2014 Advanced Path

Product Description

Ultimate Machine Learning with Scikit-Learn: Unleash the Power of Scikit-Learn and Python to Build Cutting-Edge Predictive Modeling Applications and ... Learning Engineer (ML) Advanced Path)

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Customer Questions & Answers

  • Question: Who is this book intended for?

    Answer: It is aimed at developers, students, and business analysts seeking to deepen their understanding of machine learning algorithms and applications.
  • Question: What programming language is used in the examples?

    Answer: The book uses Python, specifically with the Scikit-Learn library for machine learning.
  • Question: What topics are covered regarding data analysis?

    Answer: The book covers data preprocessing, regression analysis, decision trees, handling unstructured data, and managing real-time data streams.

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