This book is an introduction to machine learning using Python programming language with applications in finance and business. Coverages include the prediction methods of logistic regression, Naïve Bayes, k-Nearest Neighbor, Support Vector Machine, Random Forest, Gradient Boosting, and various types of Neural Networks. Performance measurements and assessments of feature importance are also explained. The book also contains detailed examples of the applications with data. Python codes are explained in a step-by-step manner using Jupyter Notebook so that the readers can practise on their own.
By:
Kian Guan Lim (S'pore Management Univ S'pore) Imprint: World Scientific Publishing Co Pte Ltd Country of Publication: Singapore Volume: 2 ISBN:9789819811236 ISBN 10: 9819811236 Series:World Scientific Series On Financial Data Analytics Pages: 316 Publication Date:03 September 2025 Audience:
College/higher education
,
Professional and scholarly
,
Primary
,
Undergraduate
Format:Hardback Publisher's Status: Active