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Linear and Polynomial Regression using Scikit-learn [Part 12] | Machine Learning for Beginners

Microsoft Developer
588K subscribers
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7.6K views 1 year ago #Python #LinearRegression #MachineLearning
šŸŽƒ Join Bea Stollnitz, a Principal Cloud Advocate at Microsoft, as she explores linear and polynomial regression models for predicting pumpkin prices using Scikit-learn. This video is part of our Machine Learning for Beginners series, where we cover various machine learning topics and their implementation using Python code in Jupyter notebooks. In this tutorial, we will work with the pumpkin dataset and continue adding code to our Jupyter notebook from the previous video. In this video, you'll learn: āœ… How to train and test linear and polynomial regression models āœ… How to calculate mean squared error and coefficient of determination āœ… How to visualize the results with Matplotlib Will we find a better prediction model using more features? Watch to find out! Make sure to subscribe and hit the notification bell šŸ”” so you won't miss our next video, where we'll see if we can improve our model by using more features. See you there! 0:00 - Intro 0 ā€¦...more
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Linear and Polynomial Regression using Scikit-learn [Part 12] | Machine Learning for Beginners
82Likes
7,655Views
2023May 15
šŸŽƒ Join Bea Stollnitz, a Principal Cloud Advocate at Microsoft, as she explores linear and polynomial regression models for predicting pumpkin prices using Scikit-learn. This video is part of our Machine Learning for Beginners series, where we cover various machine learning topics and their implementation using Python code in Jupyter notebooks. In this tutorial, we will work with the pumpkin dataset and continue adding code to our Jupyter notebook from the previous video. In this video, you'll learn: āœ… How to train and test linear and polynomial regression models āœ… How to calculate mean squared error and coefficient of determination āœ… How to visualize the results with Matplotlib Will we find a better prediction model using more features? Watch to find out! Make sure to subscribe and hit the notification bell šŸ”” so you won't miss our next video, where we'll see if we can improve our model by using more features. See you there! 0:00 - Intro 0:33 - Create a linear regression model to predict pumpkin prices 2:09 - Mean squared error 2:22 - Coefficient of determination 2:50 - Calculate the slope and intercept from the model 3:23 - Create a polynomial regression model šŸ“™ Follow along: The Jupyter Notebook to follow along with this lesson is available here: https://github.com/microsoft/ML-For-B... #Python #ScikitLearn #LinearRegression #PolynomialRegression #DataScience #MachineLearning #ml šŸ“š Learn more: This course is based on the free, open source, 26 lesson ML For Beginners curriculum from Microsoft, which can be found at https://aka.ms/ml-beginners. šŸ“‡ Connect with Bea: Blog: https://bea.stollnitz.com/blog/ LinkedIn:   / beatrizstollnitz   Twitter:   / beastollnitz  

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Microsoft Developer

588K subscribers