Master Linear Regression in Machine Learning: Full Course & Practical Guide 📊

Learn everything about Linear Regression, a fundamental machine learning algorithm. Discover techniques, applications, and hands-on examples to boost your skills. Plus, access 1000+ free courses with certificates!

Great Learning•161.4K views•03:52:06

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🔥1000+ Free Courses With Free Certificates: https://www.mygreatlearning.com/academy?ambassador_code=GLYT_DES_Top_SEP22&utm_source=GLYT&utm_campaign=GLYT_DES_Top_SEP22 🔥Build a successful career in Artificial Intelligence and Machine Learning https://www.mygreatlearning.com/pg-program-artificial-intelligence-course?ambassador_code=GLYT_DES_Middle_SEP22&utm_source=GLYT&utm_campaign=GLYT_DES_Middle_SEP54 This “Linear Regression” Tutorial by Great Learning would help you to comprehensively learn all the underlying concepts of Linear Regression. This session will be taken by Professor Mukesh Rao, who is the academic director at Great Learning. Professor Mukesh Rao has over 20 years of industry experience in Market Research, Project Management, and Data Science. Visit Great Learning Academy, for free access to full courses, projects, data sets, codebooks & live sessions: https://glacad.me/3b6nizT The following topics are covered in the session: * Introduction - 00:00:00 * Case Study to understand the need of Linear Regression - 00:01:12 * Introduction to Linear Regression - 00:04:18 * Introduction to Multiple Linear Regression - 00:09:49 * Simple Demo in R and Python - 00:11:00 * Comprehensive explanation of Linear Regression Algorithm - 00:35:47 🔥Check Our Free Courses with free certificate: 📌Linear Regression Course: https://glacad.me/3GPrfX1 📌Machine Learning with Python: https://www.mygreatlearning.com/academy/learn-for-free/courses/machine-learning-with-python?ambassador_code=GLYT_DES_Middle_SEP22&utm_source=GLYT&utm_campaign=GLYT_DES_Middle_SEP35 📌Machine Learning with AWS: https://www.mygreatlearning.com/academy/learn-for-free/courses/machine-learning-with-aws?ambassador_code=GLYT_DES_Middle_SEP22&utm_source=GLYT&utm_campaign=GLYT_DES_Middle_SEP36 📌Machine Learning Algorithms: https://www.mygreatlearning.com/academy/learn-for-free/courses/machine-learning-algorithms?ambassador_code=GLYT_DES_Middle_SEP22&utm_source=GLYT&utm_campaign=GLYT_DES_Middle_SEP37 📌Basics of Machine Learning: https://www.mygreatlearning.com/academy/learn-for-free/courses/basics-of-machine-learning-1?ambassador_code=GLYT_DES_Middle_SEP22&utm_source=GLYT&utm_campaign=GLYT_DES_Middle_SEP38 📌Statistics for Machine Learning: https://www.mygreatlearning.com/academy/learn-for-free/courses/statistics-for-machine-learning?ambassador_code=GLYT_DES_Middle_SEP22&utm_source=GLYT&utm_campaign=GLYT_DES_Middle_SEP39 ⚡ About Great Learning Academy: Visit Great Learning Academy to get access to 1000+ free courses with free certificate on Data Science, Data Analytics, Digital Marketing, Artificial Intelligence, Big Data, Cloud, Management, Cybersecurity, Software Development, and many more. These are supplemented with free projects, assignments, datasets, quizzes. You can earn a certificate of completion at the end of the course for free. ⚡ About Great Learning: With more than 5.4 Million+ learners in 170+ countries, Great Learning, a part of the BYJU'S group, is a leading global edtech company for professional and higher education offering industry-relevant programs in the blended, classroom, and purely online modes across technology, data and business domains. These programs are developed in collaboration with the top institutions like Stanford Executive Education, MIT Professional Education, The University of Texas at Austin, NUS, IIT Madras, IIT Bombay & more. SOCIAL MEDIA LINKS: 🔹 For more interesting tutorials, don't forget to subscribe to our channel: https://glacad.me/YTsubscribe 🔹 For more updates on courses and tips follow us on: ✅ Telegram: https://t.me/GreatLearningAcademy ✅ Facebook: https://www.facebook.com/GreatLearningOfficial/ ✅ LinkedIn: https://www.linkedin.com/school/great-learning/mycompany/verification/ ✅ Follow our Blog: https://glacad.me/GL_Blog
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