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Placement Package Prediction using Simple Linear Regression

Placement Package Prediction using Simple Linear Regression In this video, we’ll explore how to predict a student’s placement package using simple linear regression in Python. Learn how we use historical data to predict the future by analyzing the relationship between academic scores and potential salaries. We’ll walk through data preparation, building the linear regression model, and interpreting results. This tutorial provides practical insights into using linear regression for real-world predictions. 🔍 What You’ll Learn: • Data preparation for placement prediction • Building a linear regression model in Python • Interpreting prediction results • Practical applications of linear regression By the end, you’ll be able to apply simple linear regression to predict placement outcomes. Don’t forget to like, comment, and subscribe for more 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)