In this programming assignment we implement Logistic Regression using binary logistic regression classifier and multi-class logistic regression classifier to classify the handwritten digits. We ...

Depending on how many classes or categories you have, you may need a different type of classification model. In this article, you will learn what distinguishes a binary from a multi-class ...

Contains my project code for two CNN models, one trained for binary classification while the other made for multi-class classification. It utillises the CIFAR-10 dataset.

The program imports the NumPy (numerical Python) library and assigns it an alias ... It is possible to use the multi-class classification techniques presented here for binary classification. However, ...

Abstract: Binary decomposition of a multi-class classification problem is a widely used method in the field of machine learning, which involves using an ensemble of binary classifiers to undertake ...

Fusilli is a Python library designed specifically for multimodal ... the integration of varied data types for predictive tasks like regression, binary classification, and multi-class classification.