ML-For-Beginners/translations/pcm/2-Regression

Regression models for machine learning

Regional topic: Regression models for pumpkin prices in North America 🎃

For North America, dem dey use pumpkin plenty for Halloween, dem dey carve am make e look scary. Make we learn more about dis vegetable wey dey interesting!

Foto by Beth Teutschmann for Unsplash

Wetin you go learn

🎥 Click di image wey dey up for quick video wey go introduce dis lesson

Di lessons for dis section go talk about di different types of regression for machine learning. Regression models fit help us sabi di relationship wey dey between variables. Dis kind model fit predict values like length, temperature, or age, and e go help us see di relationship wey dey between di variables as e dey analyze di data.

For dis series of lessons, you go sabi di difference wey dey between linear regression and logistic regression, and you go sabi di time wey you go use one instead of di other.

🎥 Click di image wey dey up for short video wey dey introduce regression models.

For dis group of lessons, you go learn how to start machine learning tasks, including how to set up Visual Studio Code to manage notebooks, wey be di common environment for data scientists. You go sabi Scikit-learn, one library for machine learning, and you go build your first models, wey go focus on Regression models for dis chapter.

E get some low-code tools wey fit help you learn how to work with regression models. Try Azure ML for dis task

Lessons

1. Tools wey you go need
2. How to manage data
3. Linear and polynomial regression
4. Logistic regression

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Credits

"ML with regression" na work wey Jen Looper write with ♥️

♥️ Quiz contributors na: Muhammad Sakib Khan Inan and Ornella Altunyan

Di pumpkin dataset na suggestion from dis project for Kaggle and di data na from di Specialty Crops Terminal Markets Standard Reports wey United States Department of Agriculture distribute. We don add some points about color based on variety to normalize di distribution. Dis data dey public domain.

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Disclaimer:
Dis dokyument don use AI transleshion service Co-op Translator do di transleshion. Even as we dey try make am accurate, abeg make you sabi say transleshion wey machine do fit get mistake or no dey correct well. Di original dokyument for im native language na di one wey you go take as di correct source. For important informashon, e good make you use professional human transleshion. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis transleshion.