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Lec-4: Linear Regression📈 with Real life examples & Calculations | Easiest Explanation
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Machine Learning - Lec-4: Linear Regression📈 with Real life examples & Calculations | Easiest Explanation

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This course includes

  • 8 hours of video
  • Certificate of completion
  • Access on mobile and TV

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Linear Regression is one of the simplest and most widely used algorithms for predicting continuous outcomes. It establishes a linear relationship between input features and the target variable, making it easy to understand and implement. In this video, we’ll cover the fundamentals of Linear Regression, explain how to apply it to real-world datasets, and walk through the steps of model evaluation and optimization. -------------------------------------------------------------------------------------------------------------------------------------- Timestamps: 00:00 – Introduction 00:38 – Linear regression 01:09 – equation 02:33 – Project -------------------------------------------------------------------------------------------------------------------------------------- 🔹 Gate Smashers Shorts: Watch quick concepts & short videos here: https://www.youtube.com/@GateSmashersShorts 🔹 Subscribe for more shorts and motivational content: https://www.youtube.com/@varunainashots ► Machine Learning Complete playlist: https://www.youtube.com/playlist?list=PLxCzCOWd7aiEXg5BV10k9THtjnS48yI-T Subject-wise playlist Links: -------------------------------------------------------------------------------------------------------------------------------------- ► Operating System : https://www.youtube.com/playlist?list=PLxCzCOWd7aiGz9donHRrE9I3Mwn6XdP8p ►Database Management System: https://www.youtube.com/playlist?list=PLxCzCOWd7aiFAN6I8CuViBuCdJgiOkT2Y ► Theory of Computation https://www.youtube.com/playlist?list=PLxCzCOWd7aiFM9Lj5G9G_76adtyb4ef7i ►Data Structure : https://www.youtube.com/playlist?list=PLxCzCOWd7aiEwaANNt3OqJPVIxwp2ebiT ►Computer Networks (Complete Playlist): https://www.youtube.com/playlist?list=PLxCzCOWd7aiGFBD2-2joCpWOLUrDLvVV_ ►Computer Architecture (Complete Playlist): https://www.youtube.com/playlist?list=PLxCzCOWd7aiHMonh3G6QNKq53C6oNXGrX ►Structured Query Language (SQL): https://www.youtube.com/playlist?list=PLxCzCOWd7aiHqU4HKL7-SITyuSIcD93id ►Discrete Mathematics: https://www.youtube.com/playlist?list=PLxCzCOWd7aiH2wwES9vPWsEL6ipTaUSl3 ►Artificial Intelligence (Complete Playlist): https://www.youtube.com/playlist?list=PLxCzCOWd7aiHGhOHV-nwb0HR5US5GFKFI ►Compiler Design: https://www.youtube.com/playlist?list=PLxCzCOWd7aiEKtKSIHYusizkESC42diyc ►Number System: https://www.youtube.com/playlist?list=PLxCzCOWd7aiFOet6KEEqDff1aXEGLdUzn ►Cloud Computing & BIG Data: https://www.youtube.com/playlist?list=PLxCzCOWd7aiHRHVUtR-O52MsrdUSrzuy4 ►Software Engineering: https://www.youtube.com/playlist?list=PLxCzCOWd7aiEed7SKZBnC6ypFDWYLRvB2 ►Design and Analysis of algorithms (DAA) (Complete Playlist): https://www.youtube.com/playlist?list=PLxCzCOWd7aiHcmS4i14bI0VrMbZTUvlTa ►Graph Theory: https://www.youtube.com/playlist?list=PLxCzCOWd7aiG0M5FqjyoqB20Edk0tyzVt ►Programming in C: https://www.youtube.com/playlist?list=PLxCzCOWd7aiGmiGl_DOuRMJYG8tOVuapB ►Digital Logic: https://www.youtube.com/playlist?list=PLxCzCOWd7aiGmXg4NoX6R31AsC5LeCPHe --------------------------------------------------------------------------------------------------------------------------------------- Our social media Links: ► Subscribe to us on YouTube: https://www.youtube.com/gatesmashers ►Subscribe to our new channel: https://www.youtube.com/@varunainashots ► Like our page on Facebook: https://www.facebook.com/gatesmashers ► Follow us on Instagram: https://www.instagram.com/gate.smashers ► Follow us on Instagram: https://www.instagram.com/varunainashots ► Follow us on Telegram: https://t.me/gatesmashersofficial ► Follow us on Threads: https://www.threads.net/@gate.smashers -------------------------------------------------------------------------------------------------------------------------------------- ►For Any Query, Suggestion or notes contribution: Email us at: [email protected] #regression #machinelearning

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