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Logistic Regression: Introduction to Binary Classification and Linear Classifiers

Offered By: NPTEL-NOC IITM via YouTube

Tags

Logistic Regression Courses Machine Learning Courses Probability Theory Courses Parameter Estimation Courses Classification Algorithms Courses Binary Classification Courses

Course Description

Overview

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Explore the fundamentals of logistic regression in this 29-minute lecture from NPTEL-NOC IITM. Delve into binary classification problems and understand the concept of linear classifiers. Learn about the sigmoid function and its role in logistic regression. Discover the process of estimating parameters and gain insights into the log-likelihood function. Acquire essential knowledge for implementing logistic regression in various machine learning applications.

Syllabus

Intro
Binary classification problem
Linear classifier
Sigmoid function
Estimation of the parameters
Log-likelihood function


Taught by

NPTEL-NOC IITM

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