The weighted k-nearest neighbors (k-NN) classification algorithm is a relatively simple technique to predict the class of an item based on two or more numeric predictor variables. For example, you ...

There are many different binary classification algorithms. In this article I'll demonstrate how to perform binary classification using a deep neural network with the Keras code library.

Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any ...

Dermatologists typically classify skin lesions based on multiple data sources. Algorithms that fuse the information together can support this classification. An international research team has now ...

In this work, the availability of high-resolution unmanned aerial vehicle (UAV) image detection for the detection of green tides on the Jeju coast of Korea is presented, and the classification ...