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30 lines
2.0 KiB
30 lines
2.0 KiB
# Regression Models for Machine Learning
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## Regional topic: Regression models for pumpkin prices in North America 🎃
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In North America, pumpkins are often carved into scary faces for Halloween. Let's discover more about these fascinating vegetables!
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> Photo by <a href="https://unsplash.com/@teutschmann?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText">Beth Teutschmann</a> on <a href="https://unsplash.com/s/photos/jack-o-lanterns?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText">Unsplash</a>
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## What you will learn
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In this section, you will get set up to begin machine learning tasks, including configuring Visual Studio code to manage notebooks, the common environment for data scientists. You will discover Scikit-Learn, a library for machine learning, and you will build your first models, focusing on Regression models in this chapter.
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> There are useful low-code tools that can help you learn about working with Regression models. Try [Azure ML for this task](https://docs.microsoft.com/learn/modules/create-regression-model-azure-machine-learning-designer/?WT.mc_id=academic-15963-cxa)
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### Lessons
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1. [Tools of the Trade](1-Tools/README.md)
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2. [Managing Data](2-Data/README.md)
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3. [Linear and Polynomial Regression](3-Linear/README.md)
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4. [Logistic Regression](4-Logistic/README.md)
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---
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### Credits
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"ML with Regression" was written with ♥️ by [Jen Looper](https://twitter.com/jenlooper)
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♥️ Quiz contributors include: Muhammad Sakib Khan Inan
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The pumpkin dataset is suggested by [this project on Kaggle](https://www.kaggle.com/usda/a-year-of-pumpkin-prices) and its data is sourced from the [Specialty Crops Terminal Markets Standard Reports](https://www.marketnews.usda.gov/mnp/fv-report-config-step1?type=termPrice) distributed by the United States Department of Agriculture. We have added some points around color based on variety to normalize the distribution. This data is in the public domain.
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