Hands-on machine learning with scikit-learn and scientific Python toolkits a practical guide to implementing supervised and unsupervised machine learning algorithms in Python
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 p...
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Formato: | Libro electrónico |
Idioma: | Inglés |
Publicado: |
Birmingham, England :
Packt
2020.
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Edición: | 1st edition |
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Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009631058506719 |