Multiple Linear Regression & Polynomial Regression Model Example, The Very Basics | NerdML
What if you have more than one independent variable? In this video we will understand Multiple Linear Regression, how to generate straight line when we have more then one independent variables. We'll see use of polynomial regression, why it is known as linear regression & we'll derive equation for polynomial regression. It is assumed that you are comfortable with Simple Linear Regression. If not, please review my playlist on that topic. Keep on learning! Below topics are explained in this video: 1. What is Multiple Linear Regression? ( 00:57 ) 2. What is Polynomial Regression? ( 06:03 ) Do subscribe to my channel and hit the bell icon to never miss an update in the future: https://www.youtube.com/channel/UC7tzG9dDMcp0-WfGROT9cYw/ Please find the previous Video link - Introduction to Bayesian Linear Regression statistics | NerdML : https://youtu.be/_pQyco14Qt0 Please find the Simple Linear Regression video link where I have taught basics of calculus for solving partial derivations :https://youtu.be/k7lieXqeR1s Machine Learning Tutorial Playlist: https://youtube.com/playlist?list=PLAH6DbJL1J2KroCzEWRF0xnrmet9esxFH Deep Learning Tutorial Playlist : https://youtube.com/playlist?list=PLAH6DbJL1J2KK-5PlYCt3v2PaIGdvuLmB Prerequisites Basic understanding of Linear Algebra, Probability, Calculus, Matrix & Python programming including pandas, numpy, scikit learn & some visualisation tools. ------------------------------------------------------ Creator : Rahul Saini Please write back to me at [email protected] for more information Instagram: https://www.instagram.com/96_saini Facebook: https://www.facebook.com/rahulsainipusa LinkedIn: https://www.linkedin.com/in/rahul-s-22ba1993 #MultipleLinearRegression, #PolynomialRegression, #NerdML, #MachineLearning
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