Machine Learning in Business Finance using Python

Kian Guan Lim
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Kian Guan Lim: Singapore Management University, Singapore

in World Scientific Books from World Scientific Publishing Co. Pte. Ltd.

Abstract: 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.

Keywords: Portfolio Optimization; Corporate Reporting; Logistic Regression; Naïve Bayes; K-nearest Neighbor; Support Vector Machines; Decision Trees; Random Forests; Gradient Boosting Trees; SHAP Values; Multilayer Perceptron; Backpropagation; Recurrent Neural Network; LSTM; CNN (search for similar items in EconPapers)
JEL-codes: C45 C53 C55 G17 G32 (search for similar items in EconPapers)
Date: 2025
ISBN: 9789819811236
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