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 - Fork 0
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
AbhiRuchiK/Linear-Regression-USA_Housing
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
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 0
No packages published