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22 lines
1.3 KiB
22 lines
1.3 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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## 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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### Topics
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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. [Regression with a Linear Model](3-Linar/README.md)
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4. [Regression with a Logistic Model](4-Logistic/README.md)
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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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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. This data is in the public domain.
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