Integrate scikit-learn with various tools such as NumPy, pandas, imbalanced-learn, and scikit-surprise and use it to solve real-world machine learning problems

• Delve into machine learning with this comprehensive guide to scikit-learn and scientific Python
• Master the art of data-driven problem-solving with hands-on examples
• Foster your theoretical and practical knowledge of supervised and unsupervised machine learning algorithms

If you would like to purchase this new title, then you can visit our store by clicking here. The title is available as an eBook, or you can choose to purchase a paperback (which also includes the eBook).