Price: ₹649 - ₹605.00
(as of Oct 03, 2024 13:52:43 UTC – Details)
This book is written to provide a strong foundation in machine learning using Python libraries by providing real-life case studies and examples. It covers topics such as foundations of machine learning, introduction to Python, descriptive analytics and predictive analytics. Advanced machine learning concepts such as decision tree learning, random forest, boosting, recommended systems, and text analytics are covered. The book takes a balanced approach between theoretical understanding and practical applications. All the topics include real-world examples and provide step-by-step approach on how to explore, build, evaluate, and optimize machine learning models.
From the Publisher
Publisher : Wiley (1 January 2019)
Language : English
Paperback : 240 pages
ISBN-10 : 8126579900
ISBN-13 : 978-8126579907
Item Weight : 430 g
Dimensions : 20.3 x 25.4 x 4.7 cm
Country of Origin : India
Packer : Manjul publishing house complex bhopal
Generic Name : Book
Customers say
Customers find the book comprehensive enough for beginners, with useful and orderly presentation and explanations. They also appreciate the simplicity of the content and lucid flow. Readers describe the book as an excellent handbook for Data Science basics, and helpful for understanding statistics and machine learning.
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