English | Size: 325 MB
Genre: eLearning
Linear Regression Model Project in Python for Beginners Part 2, We have started our journey of understanding the background and basics of regression in the first project of this series. We understood the fundamentals of regression and created a simple linear regression model. In this project, we will get familiarised with multiple linear regression. Unlike linear regression, multiple linear regression is used to estimate the relationship between two or more independent variables and one target / dependent variable. The dataset used is the soccer player dataset. It has information about various players from different clubs, and it provides data over ten features with a number of goals as the target variable.
What you’ll learn
What is Multiple Linear Regression?
General Linear Regression Model
Matrix Representation for General Linear Regression Model
Matrix Representation of Least Squares
Understanding types of predictive variables
F-test
Coefficient of multiple determination
Adjusted R- squared
What are scatterplots?
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