Local regression is a statistical technique used to fit a smooth curve to a set of data points. Unlike traditional regression methods that apply a single equation to the entire dataset, local regression focuses on small subsets of data. This allows it to capture more complex patterns and variations in the data. In local regression, the model estimates the value at a specific point by considering nearby points, giving more weight to those closer to the target. This approach is particularly useful for datasets with non-linear relationships, as it can adapt to changes in trends without assuming a fixed form for the entire dataset.