Logistic Regression for Machine Learning

Last Updated on August 15, 2020

Logistic regression is another technique borrowed by machine learning from the field of statistics.

It is the go-to method for binary classification problems (problems with two class values). In this post you will discover the logistic regression algorithm for machine learning.

After reading this post you will know:

• The many names and terms used when describing logistic regression (like log odds and logit).
• The representation used for a logistic regression model.
• Techniques used to learn the coefficients of a logistic regression model from data.
• How to actually make predictions using a learned logistic regression model.
• Where to go for more information if you want to dig a little deeper.

This post was written for developers interested in applied machine learning, specifically predictive modeling. You do not need to have a background in linear algebra or statistics.

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