000			01496nam a22001817a 4500
020			_a9789353944902
082			_a006.31 _bFEN.M
100			_aFenner, Mark E.
245			_aMachine Learning with Python for Everyone
250			_a1st Ed.
260			_aIndia: _bPearson India, _c2020.
300			_ai-xxvii+473p.
490			_aAddison-Wesley data and analytics series.
505			_aPredicting categories : getting started with classification -- Predicting numerical values : getting started with regression -- Evaluating and comparing learners -- Evaluating classifiers -- Evaluating regressors -- More classification methods -- More regression methods -- Manual feature engineering : manipulating data for fun and profit -- Turning hyperparameters and pipelines -- Combining learners -- Models that engineer features for us -- Feature engineering for domains : domain-specific learning -- Connection, extensions, and further directions -- mlwpy.py listing.
520			_a ""Machine learning with Python for everyone" will help you master the processes, patterns, and strategies you need to build effective learning systems, even if you're an absolute beginner. If you can write some Python code, this book is for you, no matter how little college-level math you know. Author Mark E. Fenner relies on plain-English stories, pictures, and Python examples to communicate the ideas of machine learning."
650			_aMachine learning-- _vPython (Computer program language)
942			_cBK
999			_c611502 _d611502