# Regression Models for Machine Learning
## Regional topic: Regression models for pumpkin prices in North America 🎃
In North America, pumpkins are often carved into scary faces for Halloween. Let's discover more about these fascinating vegetables!
> Photo by Beth Teutschmann on Unsplash
## What you will learn
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.
> 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)
### Lessons
1. [Tools of the Trade](1-Tools/README.md)
2. [Managing Data](2-Data/README.md)
3. [Linear and Polynomial Regression](3-Linear/README.md)
4. [Logistic Regression](4-Logistic/README.md)
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### Credits
"ML with Regression" was written with ♥️ by [Jen Looper](https://twitter.com/jenlooper)
♥️ Quiz contributors include: [Muhammad Sakib Khan Inan](https://twitter.com/Sakibinan) and [Ornella Altunyan](https://twitter.com/ornelladotcom)
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.