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Hands-On Machine Learning with Scikit-Learn and Scientific Python Toolkits: A practical guide to implementing supervised and unsupervised machine learning algorithms in Python
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Hands-On Machine Learning with Scikit-Learn and Scientific Python Toolkits: A practical guide to implementing supervised and unsupervised machine learning algorithms in Python

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it was amazing 5.00  ·  Rating details ·  4 ratings  ·  4 reviews
Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits: A practical guide to implementing supervised and unsupervised machine learning algorithms in Python

Machine learning is applied everywhere, from business to research and academia, while scikit-learn is a versatile library that is popular among machine learning practitioners. This book serves as a pr
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Paperback, 342 pages
Published July 28th 2020 by Packt
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it was amazing Average rating 5.00  · 
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Manikandan Kurup
Aug 10, 2020 rated it it was amazing
This book is easy to read and understand. For someone like me, who is not an expert in Python or Machine Learning, I was still able to follow the concepts easily and understand the examples. I was able to learn quite a few things from this book. I really recommend this book to people who are interested and keen to learn more about Machine Learning algorithms.
Ali Faizan
Oct 13, 2020 rated it it was amazing
For a machine learning noob like me, it was pleasing to see that the book did not dive straight into the nitty-gritty of machine learning algorithms: it first established the raison d’être for machine learning and cohesively captured the whole gamut of developing a machine learning model. This helped me quite a bit to understand the bigger picture later on in the book where it demonstrated the practical use of various machine learning algorithms. I'll happily recommend this book to anyone intere ...more
Paul Schmidt
Mar 09, 2021 rated it it was amazing
This book is information rich with practical examples. I whom never read or touched this area was suprised to learn the weight that data analysis had on machine learning. Yes, this book also teaches you about data analysis. Throughout the chapters you learn what not to do when building machine learning and deep learning models. The author teaches you what not to do by analysing the data at hand and improving the models upon that knowledge. The book is very information rich and can easily be rere ...more
ِAhmed
Feb 24, 2021 rated it it was amazing
I am reading this book now, it take you step by step to understand machine learning concepts and move with you to practice it with python.

The book is moving forward logically with building blocks to help me understand and practice each tool of Sciket-learn.

I recommend this book to anyone interested in learning machine learning and specially practicing with scikit-learn great tools
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