Claim your complimentary eBook (worth $27.99) for free, before the offer expires on 02/17.
As machine learning algorithms become popular, new tools that optimize these algorithms are also developed.
Machine Learning Fundamentals explains you how to use the syntax of scikit-learn. You'll study the difference between supervised and unsupervised models, as well as the importance of choosing the appropriate algorithm for each dataset. You'll apply unsupervised clustering algorithms over real-world datasets, to discover patterns and profiles, and explore the process to solve an unsupervised machine learning problem.
The focus of the book then shifts to supervised learning algorithms. You'll learn to implement different supervised algorithms and develop neural network structures using the scikit-learn package. You'll also learn how to perform coherent result analysis to improve the performance of the algorithm by tuning hyperparameters.
By the end of this book, you will have gained all the skills required to start programming machine learning algorithms.
This free offer expires on Feb 17.
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>> Machine Learning Fundamentals ($27.99 Value) - free download <<
Offered by Packt Publishing, view their other free resources. Expires 02/17/21.
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