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# Create a regression model

## Instructions

In this section you were shown how to build a model using both Linear and Polynomial Regression. Using this knowledge, find a dataset or use one of Scikit-learn's built-in sets to build a fresh model. Explain in your notebook why you chose the technique you did, and demonstrate your model's accuracy. If it is not accurate, explain why.

## Rubric

| Criteria | Exemplary                                                    | Adequate                   | Needs Improvement               |
| -------- | ------------------------------------------------------------ | -------------------------- | ------------------------------- |
|          | presents a complete notebook with a well-documented solution | the solution is incomplete | the solution is flawed or buggy |

## Acknowledgments

Thanks to Microsoft for creating the open-source course [ML-For-Beginners](https://github.com/microsoft/ML-For-Beginners). It inspires the majority of the content in this chapter.