Projectpro – Linear Regression Model Project in Python for Beginners Part 2 2024-7

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?

Specificatoin of Linear Regression Model Project in Python for Beginners Part 2

• Publisher : Projectpro
• Teacher : Projectpro
• Language : English
• Level : All Levels
• Number of Course : 17
• Duration : 2 hours and 38 minutes

Content of Linear Regression Model Project in Python for Beginners Part 2

Requirements

• Language: Python
• Libraries:  numpy, pandas, statsmodel, seaborn, matplotlib, sklearn, scipy
• Before starting this project, please do visit the first project of the series Linear Regression Model Project in Python for Beginners Part 1.

Pictures

Sample Clip

Installation Guide

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Subtitle : English

Quality: 1080p

Download Links

Download – 325 MB

File size

325 MB