Python Feature Engineering Cookbook: Over 70 recipes for identifying, selecting and filtering features to build ML models-P2P
Extract accurate information from data to train and improve machine learning models using NumPy, SciPy, pandas, and scikit-learn libraries

Python Feature Engineering Cookbook: Over 70 recipes for identifying, selecting and filtering features to build ML models-P2P
January 22, 2020 | ISBN: 9781789806311 | English | 372 pages | True (PDF, EPUB, MOBI) | 25.1 MB
NITROFLARE – RAPIDGATOR – NTi

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