Relevant bibliographies by topics / Scikit-learn

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Academic literature on the topic 'Scikit-learn'

Author: Grafiati
Published: 4 June 2021
Last updated: 12 June 2025

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Books on the topic "Scikit-learn"

1

Paper, David. Hands-on Scikit-Learn for Machine Learning Applications. Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-5373-1.

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2

Garreta, Raul, Guillermo Moncecchi, Trent Hauck, and Gavin Hackeling. scikit-learn : Machine Learning Simplified: Implement scikit-learn into every step of the data science pipeline. Packt Publishing, 2017.

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3

scikit-learn Cookbook - Second Edition: Over 80 recipes for machine learning in Python with scikit-learn. Packt Publishing - ebooks Account, 2017.

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4

Hackeling, Gavin. Mastering Machine Learning with scikit-learn - Second Edition: Apply effective learning algorithms to real-world problems using scikit-learn. Packt Publishing, 2017.

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5

Shapiro, Bruce, and Isabella Romeo. Getting Started in Machine Learning: Easy Recipes for Python 3, Scikit-Learn, and Jupyter. Sherwood Forest Books, 2020.

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6

Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow, 2nd Edition. Packt Publishing, 2017.

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7

Aprende Machine Learning con Scikit-Learn, Keras y TensorFlow : Conceptos, herramientas y técnicas para conseguir sistemas inteligentes . Anaya, 2020.

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8

Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2, 3rd Edition. Packt Publishing, 2019.

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9

Geron. Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems. Shroff - O'Reilly, 2017.

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10

Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems. O'Reilly Media, 2017.

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