What is a Machine Learning model and how does it make predictions?

A machine learning model is a mathematical representation of a real-world process, trained on data to make predictions or decisions on new, unseen data.\n\n• Definition: Mathematical function that maps inputs to outputs\n• Training: Algorithm learns patterns from historical data\n• Inference: Trained model makes predictions on new data\n• Parameters: Internal variables adjusted during training\n\nExample: A house price prediction model learns from historical sales data (features: size, location, bedrooms) to predict prices for new houses. The model captures relationships like "larger houses cost more."