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 hyper parameters.
By the end of this book, you will have gain all the skills required to start programming machine learning algorithms.
Review Written by Constantin Florea
Frequently Bought Together
If you love this, you might also like...
Mac & PC
Gratitude Ideas
Whether you're new to a gratitude journal or an old pro, everyone needs some new ideas for things for which we can be grateful.
- Your discount coupon code will be applied to your purchase when you click the 'Buy Now' button.
- BitsDuJour downloads use a discount coupon code that comes direct from the software vendor, so you'll always get the latest version of the software app sold under the same terms as a regular sale, just at a great promotional price.
- Prices do not necessarily include taxes, which will vary by country.
