Summary:
- Linear regression is a fundamental machine learning technique used to predict a continuous target variable based on one or more input variables.
- It works by finding the best-fitting straight line that minimizes the distance between the predicted values and the actual values in the dataset.
- Linear regression is widely used in data science applications such as forecasting, trend analysis, and understanding the relationship between variables.