000			01168nam a2200229Ia 4500
005			20250622151027.0
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020			_a9789355424334 _qpbk
041			_aeng
082			_a006.31 _bGAL
100			_aGallatin, Kyle
245		0	_aMachine Learning with Python Cookbook _c/ Kyle Gallatin _b : practical solutions from preprocessing to deep learning
250			_a2nd ed.
260			_cc2023 _aSebastopol _bO'Reilly Media
300			_axiv, 398 p. _bill. _c23 cm.
500			_aReprint, 2023
504			_aindex
520			_aThis practical guide provides more than 200 self-contained recipes to help you solve machine learning challenges you may encounter in your work. If you're comfortable with Python and its libraries, including pandas and scikit-learn, you'll be able to address specific problems, from loading data to training models and leveraging neural networks. Each recipe in this updated edition includes code that you can copy, paste, and run with a toy dataset to ensure that it works.
650			_aMachine learning; Data mining; Apprentissage automatique
700			_aChris Albon
942			_cENGLISH
999			_c540980 _d540980