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RMSProp Optimization from Scratch in Python

Understand and implement the RMSProp optimization algorithm in Python. Essential for training deep neural networks efficiently. #RMSProp #Optimization #DeepLearning Zelensky makes major concession to ...
Scientific Research Publishing

Miloud Aouidate, A. and Baba Ali, A.R. (2013) IDS False Alarm Reduction Using an Instance Selection KNN Memetic Algorithm. International Journal of Metaheuristics, 2, No. 4.

ABSTRACT: Cybersecurity has emerged as a global concern, amplified by the rapid expansion of IoT devices and the growing digitization of systems. In this context, traditional security solutions such ...
IEEE

IoT-Enabled Warehouse Performance and Risk Management Using KNN Algorithm

Abstract: The quick integration of IoT in warehouse systems facilitates real-time monitoring, predictive analytics, and operational automation. However, mitigating risks such as delays, asset ...
GitHub

SPL Quantitative Trading Practice Series：The KNN Trading Strategy

The trading strategy is like this: 1. Set “up or not” as the target (target). If the closing price is higher than that of the previous date, assign 1 as the target value, otherwise assign -1 to it. 2.
IEEE

Investigation on PCA and LDA Feature Extraction Algorithms with KNN Classifier Targetting to Improve Diagnostic Accuracy into Detection of Breast Cancer Malignancy

Abstract: This work aims to compare two different Feature Extraction Algorithms (FEAs) viz. Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA), using a K-Nearest Neighbor (KNN) ...
GitHub

knearest-neighbor-algorithm

This project demonstrates how to implement the K-Nearest Neighbors (KNN) algorithm for classification on a customer dataset. The program iterates through different values of k (number of neighbors) ...