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.
Logistic Regression: Introduction to Binary Classification and Linear Classifiers
Overview
Syllabus
Intro
Binary classification problem
Linear classifier
Sigmoid function
Estimation of the parameters
Log-likelihood function
Taught by
NPTEL-NOC IITM
