Comprehensive coverage of supervised, unsupervised, and reinforcement learning algorithms for decision science applications
Real-time case studies in Python for data analytics, e-commerce, and hi-tech industries to illustrate practical machine learning solutions
Detailed explanation of Python programming concepts and their role in machine learning for beginners and experienced readers
Structured exercises and code implementations to reinforce learning and apply concepts in real-world scenarios
Focus on feature engineering and data science life cycle to build robust machine learning models
Summarized by Shop
This book provides a detailed description of machine learning algorithms in data analytics, data science life cycle, Python for machine learning, linear regression, logistic regression, and so forth. It addresses the concepts of machine learning in a practical sense providing complete code and implementation for real-world examples in ele
Author
Sumathi Suresh Rajappa, L Ashok Kumar
Publisher
Taylor Francis Ltd, CRC Press
Publication Date
08 July 2022
Pages
454
Format
Hardcover, Paperback
Language
English
ISBN-13
9781032193564
Weight
1040 g (Hardcover), 2.29 lbs (Paperback)
Dimensions
254 x 178 mm (Hardcover), 10 x 7 x 1 in (Paperback)