This repository contains code and data for a machine learning model that predicts ESG (Environmental, Social, and Governance) scores based on sustainability reports and company data. It's a valuable resource for researchers, investors, and sustainability professionals interested in ESG score prediction using machine learning techniques.
Ensure that the distribution of ESG scores in your dataset is not highly imbalanced. If it is, consider techniques like oversampling, undersampling, or using synthetic data generation methods like SMOTE.
Ensure that the distribution of ESG scores in your dataset is not highly imbalanced. If it is, consider techniques like oversampling, undersampling, or using synthetic data generation methods like SMOTE.