What is Investor Decision-Making

In today's business landscape, predicting the financial health of a company is essential for informed decision-making by investors, creditors, and other stakeholders. Using historical financial data and machine learning techniques, it is now possible to predict the likelihood of a company going bankrupt. This chapter provides a step-by-step guide on how to predict company bankruptcy using the “company bankruptcy prediction” dataset available on UCI machine learning repository. The chapter covers data analysis, pre-processing, applying various machine learning algorithms, evaluating model performance, and applying models to new datasets. The aim is to equip readers with the necessary skills to analyze and predict the financial health of companies, making it a valuable resource for investors, creditors, and financial analysts.