Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits
Tarek Amr
Broschiertes Buch

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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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 Key Features 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 Book Description Machine learning is applied everywhere, from business to research and academia, while scikit-learn is a versatile library that is popular ...