In the last lesson you were given a broad overview of logistic regression. This included an introduction to two separate packages for creating logistic regression models. In this lab, you'll be ...

Logistic regression is a powerful statistical method that is used to model the probability that a set of explanatory (independent or predictor) variables predict data in an outcome (dependent or ...

This project provides a robust and user-friendly web application for predicting breast cancer diagnosis (Malignant or Benign) using a logistic regression model. The model is trained on the Wisconsin ...

It is well known that the maximum likelihood fit of the logistic regression parameters can be greatly affected by atypical observations. Several robust alternatives have been proposed. However, if we ...

Abstract: Outsourcing logistic regression classification services to the cloud is highly beneficial for streaming data. However, it raises critical privacy concerns for the input data and the training ...