Machine Learning Tutorial on Logistic Regression | By Dr. Ry @Stemplicity
Автор: Prof. Ryan Ahmed
Загружено: 2019-06-28
Просмотров: 1753
Hello everyone and welcome to this tutorial on Logistic Regression.
In this tutorial, we will cover the theory and intuition behind the logistic regression classifiers.
So what are logistic regression classifiers? Logistic regression classifiers can be used to predict an output that can be one of two classes such as pass/fail, win/lose, healthy/sick.
Logistic regression algorithm works by implementing a linear equation first with independent predictors to predict a value.
This value is then converted into a probability that could range from 0 to 1.
After completing this section, students will be able to:
o Understand the difference between machine learning classification and regression
o Understand the theory behind logistic regression classifiers
o Apply ‘sigmoid’ functions to obtain probability
I hope you will enjoy this tutorial!
For more information on this, here’s a link to my new machine learning Classification course on Udemy:
https://www.udemy.com/machine-learnin...
Here’s a link to my new machine learning regression course on Udemy:
https://www.udemy.com/machine-learnin...
Subscribe to my channel to get the latest updates, we will be releasing new videos on weekly basis:
/ @professor-ryanahmed
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