Skip to content

LOGISTIC REGRESSION is a classification algorithm comes under supervised learning. In which we make a classification by sigmoid function whose parameter z i.e. theta 0 , and theta 1 are obtained from MLE. And as its a binomial classification so we used binomial PDF

Notifications You must be signed in to change notification settings

AbhiRuchiK/Linear-Regression-USA_Housing

Repository files navigation

Linear-Regression-USA_Housing

LOGISTIC REGRESSION is a classification algorithm comes under supervised learning. In which we make a classification by sigmoid function whose parameter z i.e. theta 0 , and theta 1 are obtained from MLE. And as its a binomial classification so we used binomial PDF

About

LOGISTIC REGRESSION is a classification algorithm comes under supervised learning. In which we make a classification by sigmoid function whose parameter z i.e. theta 0 , and theta 1 are obtained from MLE. And as its a binomial classification so we used binomial PDF

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published