Deep Learning with Yacine on MSN

Build k-nearest neighbors from scratch in Python – step by step tutorial

Learn how to implement the K-Nearest Neighbors (KNN) algorithm from scratch in Python! This tutorial covers the theory, ...
IEEE

Toward Highly Secure Yet Efficient KNN Classification Scheme on Outsourced Cloud Data

Abstract: Nowadays, outsourcing data and machine learning tasks, e.g., $k$ -nearest neighbor (KNN) classification, to clouds has become a scalable and cost-effective ...
IEEE

Efficientnet-Lite and Hybrid CNN-KNN Implementation for Facial Expression Recognition on Raspberry Pi

Abstract: Facial expression recognition (FER) is the task of determining a person’s current emotion. It plays an important role in healthcare, marketing, and counselling. With the advancement in deep ...
GitHub

Boulahia-Y/-Classification-d-IRM-c-r-brales-avec-KNN-GPU-OpenCL-.-

lung_knn_opencl/ ├── data/ # Dataset (généré automatiquement) │ ├── normal/ # Images CT normales │ └── tumor/ # Images CT avec tumeur ├── preprocess.py # Prétraitement des images ├── features.py # ...
GitHub

Implementation of KNN algorithm in Python 3

K-Nearest-Neighbors algorithm is used for classification and regression problems. In this project, it is used for classification. The Iris data set is bundled for test, however you are free to use any ...