Source codes and datasets used for the undergraduate capstone project entitled "Machine Learning Algorithms for the Detection of GPS Spoofing in Intelligent Transportation Systems"
-
Updated
Aug 30, 2022 - Python
Source codes and datasets used for the undergraduate capstone project entitled "Machine Learning Algorithms for the Detection of GPS Spoofing in Intelligent Transportation Systems"
Credit Card Fraud Detection using KNN and K-means
Sentiment Analysis of Foreigners against Indonesian Language
Plotting the Optimal Distance for Data Scientists in Python using the K-Nearest Neighbour K-NN Algorithm
Integrating NNK evaluation with VISSL framework
Official Repository for the MELBA paper entitled "Dimensionality Reduction and Nearest Neighbors for Improving Out-of-Distribution Detection in Medical Image Segmentation".
Machine Learning Algorithms
Demo for KNN(K-Nearest Neighbor) & Iris module(a classical test) in data analysis in Python
CSE601 Course Projects - Fall 2017
Various machine learning algorithm implementation tastes made of Python and Numpy. Enjoy!
scikit-learn compatible estimators for various kNN imputation methods
📌 1. Compute the Mahalanobis distance from a centroid for a given set of training points. 2. Implement Radial Basis function (RBF) Gaussian Kernel Perceptron. 3. Implement a k-nearest neighbor (kNN) classifier
An implementation of the K-Nearest Neighbors algorithm from scratch using the Python programming language.
Calibration of an air pollution sensor monitoring network in uncontrolled environments with multiple machine learning algorithms
implement the machine learning algorithms by python for studying
Add a description, image, and links to the k-nearest-neighbor topic page so that developers can more easily learn about it.
To associate your repository with the k-nearest-neighbor topic, visit your repo's landing page and select "manage topics."