Machine Learning Models for Climate Prediction and Adaptation Planning

This article examines Machine Learning Models for Climate Prediction and Adaptation Planning with a focused emphasis on Morocco within the field of Computer Science. It is structured as a systematic literature review that organises the problem, the strongest verified scholarship, and the main analytical implications in a concise publication-ready format. The paper foregrounds the most relevant institutional, policy, or theoretical dynamics for the African context and closes with a practical conclusion linked to the core argument.