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Simple Linear Regression using SKlearn | scikit-learn

Simple Linear Regression using SKlearn In this video, we’ll demonstrate how to perform simple linear regression in Python using the popular Scikit-Learn (SKlearn) library. You’ll learn how to set up data, fit a linear regression model, and interpret the results. We’ll also cover key methods for assessing model performance, such as calculating the R-squared value and visualizing the regression line. Ideal for beginners, this tutorial makes linear regression straightforward and accessible. 🔍 What You’ll Learn: • Setting up data for linear regression • Using SKlearn’s linear regression model • Model performance assessment with R-squared • Visualizing results with Python By the end, you’ll be ready to apply simple linear regression in Python. Don’t forget to like, comment, and subscribe for more practical tutorials! 🎥 My Gear: Here’s the equipment I use to create my videos: • Camera: iPhone 15 Pro (https://amzn.to/3TqdDdB) • Microphone: MAONO AU-PM420 (https://amzn.to/4dDo4Cs) • Lighting: GiftMax LED (https://amzn.to/3MgUEhx) • Tripod: Syvo - 3580 (https://amzn.to/4cGPyWm) • Writing Pad: XP-Pen Deco01 (https://amzn.to/3yFahw8) • Laptop: MacBook Air M2 (https://amzn.to/3yHuxND) 👨🏻‍💻 GitHub Repo: https://github.com/rksamal/YouTube-Cl... Disclaimer: Some links are affiliate links, meaning I may earn a small commission if you make a purchase through them, at no additional cost to you. This video is perfect for anyone interested in data science, looking to start their career in the field, or just curious about the data revolution. Don’t forget to like, comment, and subscribe for more educational content! Follow us: • Instagram: (  / brainybits.india  ) • Facebook: (  / 100092299548567  ) • LinkedIn: (  / brainybits  ) • X: (https://x.com/BrainyBits23)