Machine Learning In Business Finance Using Python

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.

Product details

• Authors: Kian Guan Lim, Lim Kian Guan
• Publisher: Ingram Publishers Services
• Languages: English
• Product format: Hardback
• Release: 11.08.2025
• EAN: 9789819811236
• ISBN: 978-981-9811-23-6
• Series: World Scientific Series On Financial Data Analytics
• Subjects: Social sciences, law, business > Business > Business administration; machine learning, BUSINESS & ECONOMICS / Finance / General, BUSINESS & ECONOMICS / Finance / Financial Engineering, Finance & accounting, COMPUTERS / Data Science / Machine Learning, Finance and accounting