LEADER 00000cam 2200493Ii 4500 001 on1124737873 003 OCoLC 005 20211004213025.0 006 m o d 007 cr ||||||||||| 008 191022s2019 enka o 001 0 eng d 015 GBB9J0187|2bnb 016 7 019397901|2Uk 019 1100047744|a1101047705 020 9781838552602|q(electronic book) 035 (OCoLC)1124737873|z(OCoLC)1100047744|z(OCoLC)1101047705 040 HUA|beng|erda|epn|cHUA|dEBLCP|dUKAHL|dCHVBK|dYDX|dOCLCF |dN$T|dUKMGB|dOCLCQ|dKMS 049 GTKE 050 4 QA76.73.P98|b.K567 2019 082 04 006.33|223 100 1 Klosterman, Stephen,|eauthor. 245 10 Data science projects with Python :|ba case study approach to successful data science projects using Python, pandas, and scikcit-learn /|cStephen Klosterman. 264 1 Birmingham :|bPackt Publishing,|c[2019] 300 1 online resource (iv, 353 pages, 5 unnumbered pages) : |billustrations 336 text|btxt|2rdacontent 337 computer|bc|2rdamedia 338 online resource|bcr|2rdacarrier 347 data file|2rda 500 Includes index. 505 0 Data Exploration and Cleaning -- Introduction to Scikit- Learn and Model Evaluation -- Details of Logistic Regression and Feature Exploration -- The Bias-Variance Trade-off -- Decision Trees and Random Forests -- Imputation of Missing Data, Financial Analysis, and Delivery to Client. 520 This book will help readers get comfortable with using the Python environment for data science and will start them on a journey to mastering topics within machine learning. 650 0 Python (Computer program language) 650 0 Machine learning. 650 0 Data mining. 650 0 Information visualization. 650 7 Data mining.|2fast|0(OCoLC)fst00887946 650 7 Information visualization.|2fast|0(OCoLC)fst00973185 650 7 Machine learning.|2fast|0(OCoLC)fst01004795 650 7 Python (Computer program language)|2fast |0(OCoLC)fst01084736 776 08 |iPrint version:|aKlosterman, Stephen.|tData science projects with Python|z9781838551025 914 on1124737873 994 92|bGTK
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