In scientific papers writing, we are usually required to follow the writing structure of the journal we are aiming for. Moreover, most journals in the field of science and technology have almost the same model. There are important parts that are the main structure that must be present in the paper. One of them is […]
K nearest neighbor (KNN) is a simple and efficient method for classification problems. Moreover, KNN is a classification algorithm using a statistical learning method that has been studied as pattern recognition, data science, and machine learning approach.​[1], [2]​ Therefore, this technique aims to assign an unseen point to the dominant class among its k nearest
K-Nearest Neighbors (KNN) For Iris Classification Using Python Read More »
Linear Regression with Gradient Descent is a good and simple method for time series prediction. One of the time series predictions that can be solved by this method is Energy Efficiency Prediction. And the purpose of this research article is to implement Linear Regression with Gradient Descent to predict the Heating Load (Y1). The programming
Gradient Descent for Energy Efficiency Prediction using Python Read More »
There are some myths about cats and dogs. Some myths about cats or dogs can be harmless but could also be harmful. Also, due to certain beliefs, people may treat cats and dogs differently. Accordingly, this article will provide you with the latest scientific information about cats and dogs to reveal those myths.
