This code focuses on predicting the future evolution of vegetation cover in Tunisia using advanced machine learning methods. The study concentrates on analyzing climatic and environmental data to understand the impact of climate change on Tunisian forest ecosystems. The code details the processes of data extraction, processing, and analysis, as well as the use of various machine learning models and algorithms, such as Random Forest, XGBoost, and SVM. These models are trained on the available data and tailored to our specific problem to provide accurate future predictions. Each model is evaluated based on its predictive performance to select the one that offers the best accuracy and overall performance.