This repo contains the code to perform a simple image classification task using Python and Machine Learning. We will apply global feature descriptors such as Color Histograms, Haralick Textures and Hu ...

Decision trees are a popular supervised learning method for a variety of reasons. Benefits of decision trees include that they can be used for both regression and classification, they are easy to ...

In this article, you learn how to build an Azure Machine Learning pipeline to complete an image classification task. This example uses the Azure Machine Learning Python SDK v2. Machine Learning ...

This repository contains implementation and evaluation scripts for various pre-trained deep learning models applied to binary classification of cats and dogs using transfer learning on a balanced ...

Machine learning classification is a type of supervised learning in which an algorithm maps a set of inputs to discrete output. Classification models have a wide range of applications across disparate ...

In machine learning tasks, classification is a supervised learning method to predict the label given the input data. For example, we want to predict if someone is interested in the sales offering ...

A conditional generative adversarial network tuned by an Adaptive Jaya Algorithm generated synthetic forest images that, ...