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Regression


Predict numeric values

Linear Regression builds relationship between inputs (features) and outputs (targets). It is a simple yet effective model to start with to get a benchmark.

  • Using training data, the goal is to minimize the loss.
  • You can measure loss function using SSE

Polynomial Regression: Linear Regression can also be used to model a non-linear relationship. To achieve this, we transform an input feature by a non-linear transformation function and create a new feature that can be used as input in the model.

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