Machine Learning In Business Finance Using Python
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€102.99
A01=Kian Guan Lim
Author_Kian Guan Lim
Backpropagation
Category=KF
Category=UYQM
CNN
Corporate Reporting
Decision Trees
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eq_business-finance-law
eq_computing
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Gradient Boosting Trees
K-nearest Neighbor
Logistic Regression
LSTM
Multilayer Perceptron
NaAfA?ve Bayes
Portfolio Optimization
Random Forests
Recurrent Neural Network
SHAP Values
Support Vector Machines
Product details
- ISBN 9789819811236
- Publication Date: 03 Sep 2025
- Publisher: World Scientific Publishing Co Pte Ltd
- Publication City/Country: SG
- Product Form: Hardback
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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.
