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 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 ...

This project is a web-based application that allows users to upload an image and receive a classification prediction (identifying what the image contains) using a pre-trained deep learning model. It ...

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 ...

A keras based implementation of Hybrid-Spectral-Net as in IEEE GRSL paper "HybridSN: Exploring 3D-2D CNN Feature Hierarchy for Hyperspectral Image Classification". Pytorch implementation of Multimodal ...

First, if you are wondering what evaluation metrics are, please take a look here. I will explain evaluation metrics further below, but this should help you get an idea. In machine learning and deep ...

This little image classifier is a showcase of how easy it is to create a functional image classifier using just basic python and some easy to use and well-documented libraries. I prepared this script ...