Master Logistic Regression in PyTorch: A Comprehensive Tutorial

Опубликовано: 12 Октябрь 2022
на канале: LearningHub
56
0

Get a step-by-step guide on how to implement logistic regression in PyTorch for binary classification tasks. We'll be using the breast cancer classification dataset as an example to show you how easy it is to build your own logistic regression model from scratch with PyTorch. This tutorial is part of a series on implementing machine learning algorithms with PyTorch.

To get the most out of this tutorial, make sure to like, share, and subscribe, and hit the bell icon to stay updated on new programming and computer science content. Sharing the tutorial with your friends and colleagues can help expose the video to a larger audience, which may increase views.

In addition to this tutorial, check out the full playlist of PyTorch tutorials at    • PyTorch Tutorials   and my other tutorials on natural language processing at    • Natural Language Processing  , machine learning at    • Machine Learning  , data science at    • Data Science  , and Android development at    • Building a Room Database | Android   and    • Android App with PHP/MYSQL Server   and    • Kotlin for Android with Architectural...  .

You can also find me on LinkedIn at   / abhishek-koirala-3686b2a0   and on Github at https://github.com/developeravsk/. If you have any questions or feedback, feel free to contact me at [email protected]. I'm always happy to help!