Logistic regression is an extension of the linear regression model designed to predict the probability of occurrence for a binary outcome. This tutorial will begin with a brief introduction to logistic regression and then use the technique to detect fraud in a financial transactions dataset.

Logistic Regression Using Real-world Data

Preface

Logistic regression is an extension of the linear regression model designed to predict the probability of occurrence for a binary outcome. As such, it lends itself rather well to binary classification tasks and can potentially be extended to multi-class problems using more advanced techniques not discussed in this tutorial.

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