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    "# Create a regression model\n",
    "\n",
    "## Instructions\n",
    "\n",
    "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.\n",
    "\n",
    "## Rubric\n",
    "\n",
    "| Criteria | Exemplary                                                    | Adequate                   | Needs Improvement               |\n",
    "| -------- | ------------------------------------------------------------ | -------------------------- | ------------------------------- |\n",
    "|          | presents a complete notebook with a well-documented solution | the solution is incomplete | the solution is flawed or buggy |\n",
    "\n",
    "## Acknowledgments\n",
    "\n",
    "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."
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