Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits: A practical guide to implementing supervised and unsupervised machine learning algorithms in Python 9781838823580, 1838823581

Integrate scikit-learn with various tools such as NumPy, pandas, imbalanced-learn, and scikit-surprise and use it to sol

626 93 13MB

English Pages 384 Year 2020

Report DMCA / Copyright

DOWNLOAD FILE

Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits: A practical guide to implementing supervised and unsupervised machine learning algorithms in Python
 9781838823580, 1838823581

Polecaj historie