Logistic Regression in R | Logistic Regression in R Example | Data Science Algorithms | Simplilearn

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This Logistic Regression in R video will help you understand what is a regression, the need for regression and the types of regression. You will learn why logistic regression is important, what is logistic regression and at the end, you will also see a use case implementation of logistic regression in R example. Let’s begin this data science algorithm!

Below topics are explained in this logistic regression in R video:
00:00 Introduction
01:06 Why regression?
03:24 What is regression?
04:38 Types of regression
05:57 Why logistic regression?
08:47 What is logistic regression?
11:53 Use case – College admission using logistic regression

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What is Logistic Regression?
Regression is used to find the statistical relationship between two or more variables where a change in the independent variable is associated with a change in the dependent variable. Logistic Regression is used to estimate discrete values (usually binary values such as 0 and 1) from a set of independent variables. It helps to predict the probability of an event by fitting data to a logit function (sigmoid curve).

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