Logistic Regression in Hindi | Machine Learning Tutorial | Great Learning

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Watch this tutorial on Logistic Regression in Hindi! Logistic Regression is a statistical method to model the probability of existing events and is used for the purpose of classification. It is one of the most important predictive analysis algorithms. Logistic regression is used for binary classification and multi-class classification. Whenever one wants to forecast or predict something, these regression algorithms are used for that purpose!

Great Learning brings you this tutorial on Logistic Regression in Hindi to help you understand this topic and getting started on the journey to learn about it well. This video starts by reviewing Linear Regression and solving a problem on the topic, followed by understanding the topic of Logical Regression. Then we look at the concept of the sigmoid function. Finally, we look at a logistic regression demo in Python! This video teaches Logistic Regression in Hindi with an in-depth demonstration & examples to help you get started on the right foot.

00:00 Introduction
01:16 Agenda
01:30 Reviewing Linear Regression
02:04 Problem with Linear Regression
05:17 Introducing Logistic Regression
08:43 Sigmoid Function
12:02 Logistic Regression Demo in Python

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