You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
ML-For-Beginners/translations/en/2-Regression/3-Linear/assignment.md

25 lines
1.6 KiB

<!--
CO_OP_TRANSLATOR_METADATA:
{
"original_hash": "cc471fa89c293bc735dd3a9a0fb79b1b",
"translation_date": "2025-09-06T10:45:18+00:00",
"source_file": "2-Regression/3-Linear/assignment.md",
"language_code": "en"
}
-->
# Create a Regression Model
## Instructions
In this lesson, you learned how to create a model using both Linear and Polynomial Regression. Using this knowledge, find a dataset or use one of Scikit-learn's built-in datasets to develop a new model. In your notebook, explain why you chose the specific technique and demonstrate the accuracy of your model. If the model is not accurate, provide an explanation for the result.
## Rubric
| Criteria | Outstanding | Satisfactory | Needs Improvement |
| -------- | ------------------------------------------------------------ | -------------------------- | ------------------------------- |
| | provides a complete notebook with a well-documented solution | the solution is incomplete | the solution contains errors or issues |
---
**Disclaimer**:
This document has been translated using the AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator). While we strive for accuracy, please note that automated translations may contain errors or inaccuracies. The original document in its native language should be regarded as the authoritative source. For critical information, professional human translation is recommended. We are not responsible for any misunderstandings or misinterpretations resulting from the use of this translation.