04197nam a22005535i 4500 ssj0001931061 WaSeSS 20240529141948.0 m d cr n 171221s2018 xxu| o |||| 0|eng d 9781484232071 10.1007/978-1-4842-3207-1 doi WaSeSS AIMIT LIBRARY Q334-342 UYQ bicssc COM004000 bisacsh UYQ thema 006.31 1 SARD EBOOK Sarkar, Dipanjan 30573 Practical Machine Learning with Python: problem-solver's guide to building real-world intelligent systems / By Dipanjan Sarkar, Raghav Bali and Tushar Sharma. 1st ed. Berkeley, CA : Apress : Imprint: Apress, 2018. XXV,530p. ; PB 23.5 cm text file PDF rda Chapter 1: Machine Learning Basics -- Chapter 2: The Python Machine Learning Ecosystem -- Chapter 3: Processing, Wrangling and Visualizing Data.-Chapter 4: Feature Engineering and Selection -- Chapter 5: Building, Tuning and Deploying Models.-Chapter 6: Analyzing Bike Sharing Trends -- Chapter 7: Analyzing Movie Reviews Sentiment -- Chapter 8: Customer Segmentation and Effective Cross Selling -- Chapter 9: Analyzing Wine Types and Quality -- Chapter 10: Analyzing Music Trends and Recommendations -- Chapter 11: Forecasting Stock and Commodity Prices -- Chapter 12: Deep Learning for Computer Vision. Requires an SPL library card. Master the essential skills needed to recognize and solve complex problems with machine learning and deep learning. Using real-world examples that leverage the popular Python machine learning ecosystem, this book is your perfect companion for learning the art and science of machine learning to become a successful practitioner. The concepts, techniques, tools, frameworks, and methodologies used in this book will teach you how to think, design, build, and execute machine learning systems and projects successfully. Practical Machine Learning with Python follows a structured and comprehensive three-tiered approach packed with hands-on examples and code. Part 1 focuses on understanding machine learning concepts and tools. Part 2 details standard machine learning pipelines, with an emphasis on data processing analysis, feature engineering, and modeling. Part 3 explores multiple real-world case studies spanning diverse domains and industries like retail, transportation, movies, music, marketing, computer vision and finance. Practical Machine Learning with Python will empower you to start solving your own problems with machine learning today! You will: Execute end-to-end machine learning projects and systems Implement hands-on examples with industry standard, open source, robust machine learning tools and frameworks Review case studies depicting applications of machine learning and deep learning on diverse domains and industries Apply a wide range of machine learning models including regression, classification, and clustering. Mode of access: World Wide Web. Artificial intelligence 30574 Python (Computer program language) 30575 Open source software 30576 Computer programming 30577 Electronic books. local 30578 Bali, Raghav. 30579 Sharma, Tushar. 30580 SpringerLink (Online service) 30581 O'Reilly (Firm) 30582 Serials Solutions 30583 Springer eBooks Printed edition: 9781484232064 Printed edition: 9781484232088 Printed edition: 9781484240496 View this electronic item in O'Reilly Online Learning: Academic/Public Library Edition. https://ezproxy.spl.org/login?url=https://learning.oreilly.com/library/view/~/9781484232071/?ar An e-book available through full-text database. ddc BK 1st 006.31 SARD 222512 222512 03658617 0 0 ddc 0 0 MCA AIMIT AIMIT 2022-03-24 Biblios Book Point 1599.00 Bill no:6623; Bill dt:2022-03-22 0 006.31 SARD MCA17071 2025-07-21 00:00:00 1279.00 2022-04-20 BK