Linear Regression Analysis | Linear Regression Python | Machine Learning | Great Learning смотреть онлайн

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Linear Regression is a very important Machine Learning Algorithm and it's crucial for predictive analysis. This Video on Linear Regression Analysis will introduce you to the algorithm and tell you how to implement Linear Regression practically.

“Linear Regression” is a statistical method to regress the data with a dependent variable having continuous values whereas independent variables can have either continuous or categorical values. In other words “Linear Regression” is a method to predict the dependent variable (Y) based on values of independent variables (X). It can be used for the cases where we want to predict some continuous quantity. E.g., Predicting traffic in a retail store, predicting a user’s dwell time, etc.

Regression analysis helps in determining the cause and effect relationship between variables. It is possible to predict the value of other variables (called the dependent variable) if the values of independent variables can be predicted using a graphical method or the algebraic method. In this tutorial, we have covered all the topics such as, What is Linear Regression, Single Linear Regression, What are its advantages and much more, that will help you to understand this concept with ease.


The following pointers will be covered in this video:
00:00:00 Introduction
00:00:37 Agenda
00:0051 What is Linear Regression?
00:05:30 Why Do A Regression Analysis?
00:10:47 Single Linear Regression
00:24:53 Least Squares Or Regression Line
00:37:17 Assumptions Of Linear Regression

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