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Multiple Linear Regression using SKlearn

Multiple Linear Regression using SKlearn In this video, we demonstrate how to implement multiple linear regression using the popular Scikit-Learn (SKlearn) library in Python. Learn the step-by-step process of building, training, and evaluating a multiple linear regression model, along with best practices for handling multiple predictors. This tutorial is perfect for beginners in machine learning and data science looking to understand and apply regression techniques to real-world data. 🔍 What You’ll Learn: • Setting up multiple linear regression with SKlearn • Preparing data with multiple predictors • Training and evaluating the model • Practical applications in data analysis By the end of this video, you’ll be equipped to implement multiple linear regression using SKlearn for your own projects. Don’t forget to like, comment, and subscribe! 🎥 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)