Learning Scikit-Learn

Learning Scikit-Learn
Author: Raul Garreta
Publisher: Packt Pub Limited
Total Pages: 118
Release: 2013-11
Genre: Computers
ISBN: 9781783281930

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The book adopts a tutorial-based approach to introduce the user to Scikit-learn.If you are a programmer who wants to explore machine learning and data-based methods to build intelligent applications and enhance your programming skills, this the book for you. No previous experience with machine-learning algorithms is required.


Learning Scikit-Learn
Language: en
Pages: 118
Authors: Raul Garreta
Categories: Computers
Type: BOOK - Published: 2013-11 - Publisher: Packt Pub Limited

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The book adopts a tutorial-based approach to introduce the user to Scikit-learn.If you are a programmer who wants to explore machine learning and data-based met
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow
Language: en
Pages: 851
Authors: Aurélien Géron
Categories: Computers
Type: BOOK - Published: 2019-09-05 - Publisher: "O'Reilly Media, Inc."

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Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about
Machine Learning with PyTorch and Scikit-Learn
Language: en
Pages: 775
Authors: Sebastian Raschka
Categories: Computers
Type: BOOK - Published: 2022-02-25 - Publisher: Packt Publishing Ltd

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This book of the bestselling and widely acclaimed Python Machine Learning series is a comprehensive guide to machine and deep learning using PyTorch s simple to
Hands-On Machine Learning with Scikit-learn and Scientific Python Toolkits
Language: en
Pages: 384
Authors: Tarek Amr
Categories: Computers
Type: BOOK - Published: 2020-07-24 - Publisher:

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Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits
Language: en
Pages: 368
Authors: Tarek Amr
Categories: Mathematics
Type: BOOK - Published: 2020-07-24 - Publisher: Packt Publishing Ltd

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Integrate scikit-learn with various tools such as NumPy, pandas, imbalanced-learn, and scikit-surprise and use it to solve real-world machine learning problems