Abstract: Effective machine learning methods are usually trained by large data sets to guarantee accuracy and avoid overfitting. However, large data sets restrict the popularization of the machine ...

Abstract: Deep learning (DL) is widely used in radio frequency fingerprint identification (RFFI). However, in few-shot case, traditional DL-based RFFI need to construct auxiliary dataset to realize ...

This project uses Machine Learning to classify Iris flowers into three different species based on their physical measurements. The classification is performed using the K-Nearest Neighbors (KNN) ...

Select an issue and ask to be assigned to it. Check existing scripts in the projects directory. Star this repository. On the python-mini-projects repo page, click the Fork button. Clone your forked ...