Scikit-Learn

Packt Publishing Ltd., 2020. — 368 p. — ISBN: 978-1-83882-604-8. Code files only! 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 Machine learning is applied everywhere, from business to research and academia, while scikit-learn is a versatile library that is popular...

Packt Publishing, 2020. — 164 p. — ISBN: 978-1-78934-370-0. Code files only! Deploy supervised and unsupervised machine learning algorithms using scikit-learn to perform classification, regression, and clustering. Scikit-learn is a robust machine learning library for the Python programming language. It provides a set of supervised and unsupervised learning algorithms. This book...