Simple Linear Regression using Least Square Error - This video will help you to understand that Simple linear regression is a statistical approach that allows us to study relationships between two continuous (quantitative) variables: dependent (Y variable) & independent (X variable). How this works with simple examples, and will also explain how Simple Linear Regression is being used in various industries. I have tried to cover all aspects including inner functionality of this algorithm, mathematics derivations used behind Simple Linear Regression.
Below topics are explained in this video:
1. What is Simple Linear Regression? ( 00:08 )
2. Why Least Square Error ( 02:51 )
3. Mathematical explanation of Simple Linear Regression? ( 03:35 )
4. Recap for next video (06:13)
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Please find the previous Video link - Machine Learning :
• Introduction To Machine Learning | Machine...
Prerequisites
Basic understanding of Linear Algebra, Probability, Matrix & Python programming including pandas, numpy, scikit learn & some visualization tools.
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Due to COVID-19 lock down, it's difficult to arrange complete setup for video preparation but I have tried my best & soon I'll use pointer device based on proper availability to make the session more user interacted.
Creator : Rahul Saini
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