We present a versatile GPU-based parallel version of Logistic Regression (LR), aiming to address the increasing demand for faster algorithms in binary classification due to large data sets. Our ...

Ultimately, we employed decision trees, logistic regression, and random forests to reach our objective. Of these, random forest yielded the highest accuracy of 96%, making them useful for obtaining ...

Folders and files ... Repository files navigation logistic_regression logistic regression implementation by python This notebook is part of Machine Learning Course (Fall 2018) assignments at ...

In this tutorial, you will learn Python Logistic Regression. Here you’ll know what exactly is Logistic Regression and you’ll also see an Example with Python. Logistic Regression is an important topic ...

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This article explains how to implement logistic regression using Python. There are several machine learning libraries that have built-in logistic regression functions, but using a code library isn't ...

The data doctor continues his exploration of Python-based machine learning techniques, explaining binary classification using logistic regression, which he likes for its simplicity.