Development Of Data Science Technologies In The Field Of Climate Change Research

Climate change is a critical challenge impacting ecological, economic, and social dimensions. This study explores the causes of climate change, focusing on human-induced greenhouse gas emissions, particularly carbon dioxide (CO₂). Using data from the FAOSTAT database (1990-2020), various Data Science methods—Random Forest, XGBoost, and LSTM neural networks—are employed to analyze CO₂ emissions and their correlation with global temperature changes.