{ "cells": [ { "cell_type": "markdown", "id": "d6350c0a", "metadata": {}, "source": [ "# Regression with Scikit-learn\n", "\n", "## Instructions\n", "\n", "Take a look at the [Linnerud dataset](https://scikit-learn.org/stable/modules/generated/sklearn.datasets.load_linnerud.html#sklearn.datasets.load_linnerud) in Scikit-learn. This dataset has multiple [targets](https://scikit-learn.org/stable/datasets/toy_dataset.html#linnerrud-dataset): 'It consists of three exercise (data) and three physiological (target) variables collected from twenty middle-aged men in a fitness club'.\n", "\n", "In your own words, describe how to create a Regression model that would plot the relationship between the waistline and how many situps are accomplished. Do the same for the other datapoints in this dataset.\n", "\n", "## Rubric\n", "\n", "| Criteria | Exemplary | Adequate | Needs Improvement |\n", "| ------------------------------ | ----------------------------------- | ----------------------------- | -------------------------- |\n", "| Submit a descriptive paragraph | Well-written paragraph is submitted | A few sentences are submitted | No description is supplied |\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." ] } ], "metadata": { "jupytext": { "cell_metadata_filter": "-all", "formats": "md:myst", "text_representation": { "extension": ".md", "format_name": "myst", "format_version": 0.13, "jupytext_version": "1.11.5" } }, "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "source_map": [ 14 ] }, "nbformat": 4, "nbformat_minor": 5 }