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Books on the topic 'Scikit-learn'

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1

Paper, David. Hands-on Scikit-Learn for Machine Learning Applications. Berkeley, CA: 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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11

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems. O'Reilly Media, 2019.

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12

Fontaine, Alan. Mastering Predictive Analytics with scikit-learn and TensorFlow: Implement machine learning techniques to build advanced predictive models using Python. Packt Publishing, 2018.

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13

Galea, Alex, and Luis Capelo. Applied Deep Learning with Python: Use scikit-learn, TensorFlow, and Keras to create intelligent systems and machine learning solutions. Packt Publishing, 2018.

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14

Saleh, Hyatt. Machine Learning Fundamentals: Use Python and scikit-learn to get up and running with the hottest developments in machine learning. Packt Publishing, 2018.

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15

Saleh, Hyatt. the Machine Learning Workshop: Get Ready to Develop Your Own High-Performance Machine Learning Algorithms with Scikit-learn, 2nd Edition. Packt Publishing, Limited, 2020.

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16

Coelho, Luis Pedro, Willi Richert, and Matthieu Brucher. Building Machine Learning Systems with Python: Explore machine learning and deep learning techniques for building intelligent systems using scikit-learn and TensorFlow, 3rd Edition. Packt Publishing, 2018.

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17

Amr, Tarek. Hands-On Machine Learning with Scikit-learn and Scientific Python Toolkits: A Practical Guide to Implementing Supervised and Unsupervised Machine Learning Algorithms in Python. Packt Publishing, Limited, 2020.

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18

Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits: A practical guide to implementing supervised and unsupervised machine learning algorithms in Python. Packt Publishing, 2020.

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19

Smith, Django. Python Machine Learning: The Crash Course for Beginners to Programming and Deep Learning, Artificial Intelligence, Neural Networks and Data Science. Scikit Learn, Tensorflow, Pandas and Numpy. Independently published, 2019.

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