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About Lecture Notes - Linear Regression
This document provides an overview of linear regression techniques. It discusses simple linear regression, where a dependent variable is predicted from one independent variable using a linear equation and best fit line. It also covers multiple linear regression, which predicts a dependent variable from multiple independent variables. Key concepts explained include regression line, residuals, R-squared, and implementing simple linear regression in Python. Real-world applications of regression across industries are also mentioned.
Detailed Information
| Author: | ['Amandeep Kaur Gahir'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 26 |
| Language: | English |
| Format: | |
| Price: | FREE |
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