Machine Learning, Linear Regression, Supervised Learning, Data Science, Predictive Modeling.
machine learning where a model learns from a labeled dataset. In this case, the dataset consists of input features (such as the size of a house) and corresponding output targets (the actual price of the house). The goal is to train the model to make accurate predictions based on new inputs. # 1.