Machine Learning, Linear Regression, Supervised Learning, Data Science, Predictive Modeling.
(eg: square feet) and corresponding output targets (eg: house price). Let: “m” be the number of training examples. “x” be the input feature representing a specific property of the house, such as its size. “y” be the output target, representing the actual price of the house. “i” be the index of a