machine-learning-models

Machine learning models are algorithms that have been trained on data to make predictions or decisions without being explicitly programmed for specific tasks. These models learn from patterns and relationships in data, improving their accuracy over time as they are exposed to more information. They are used in applications like recommendation systems, fraud detection, and natural language processing.