About this document
Machine Learning Models For Financial Analytics by Rahul Kumar is a document available to read on EtoBox.
The document discusses the development and implementation of machine learning models for predicting credit risk based on socioeconomic and demographic factors. It outlines the business objectives, data understanding, preprocessing steps, model selection, evaluation, and deployment strategies. The findings indicate that Random Forest is the most effective model for credit risk assessment, with recommendations for future improvements and model updates.
- Author
- Rahul Kumar
- Language
- EN