There are 2 repositories under k-nearest-neighbor topic.
Plain python implementations of basic machine learning algorithms
Interactive K-Nearest Neighbors machine learning algorithm in JavaScript.
implement the machine learning algorithms by python for studying
Data Mining Algorithms with C# using LINQ
Generic RTree for Nim
This toolbox offers 8 machine learning methods including KNN, SVM, DA, DT, and etc., which are simpler and easy to implement.
Adversarial Examples on KNN (and its neural network friends)
Calibration of an air pollution sensor monitoring network in uncontrolled environments with multiple machine learning algorithms
An implementation of the K-Nearest Neighbors algorithm from scratch using the Python programming language.
Machine Learning Algorithms
Source codes and datasets used for the undergraduate capstone project entitled "Machine Learning Algorithms for the Detection of GPS Spoofing in Intelligent Transportation Systems"
CSE601 Course Projects - Fall 2017
Various machine learning algorithm implementation tastes made of Python and Numpy. Enjoy!
đź“Ś 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
Deep Learning breast histology microscopy image recognition using Convolutional Neural Networks
Syracuse University, Masters of Applied Data Science - IST 736 Text Mining
This is a repository for data science templates. New templates will be added as and when they are created. Feel free to use these templates for your data science projects!
A Python Machine Learning classification task to predict fall incidents in elderly persons taking into account reports and clinical information. The prediction application is live and usable on Streamlit to predict the possibility of falls in elderly persons.
Sentiment analysis on Rotten Tomatoes Dataset
Integrating NNK evaluation with VISSL framework
Maching Learning Project : A classification problem using K Nearest Neighbor(KNN), Decision Tree, Support Vector Machine, and Logistic Regression algorithms
Demo for KNN(K-Nearest Neighbor) & Iris module(a classical test) in data analysis in Python
Exploratory Data Analysis of MNIST dataset
Sentiment Analysis on Movie Reviews Challenge
Plotting the Optimal Distance for Data Scientists in Python using the K-Nearest Neighbour K-NN Algorithm
Artificial Intelligence | BRACU
IBM Project
The creation of the credit score models of a lending company.
Using SciKit Learn few Deep Learning Rules and Algorithms are implemented
This project uses the K-Nearest Neighbors (KNN) algorithm to classify Iris flowers based on their sepal and petal measurements. The dataset used in this project is the Iris Dataset, which includes 150 samples of Iris flowers, each with four features: sepal length, sepal width, petal length, and petal width.
Project 01 - Credit Card Approval Prediction.Also included a few resources on side that I found helpful.
Project 03 - Social Network Ads.Also included a few resources on side that I found helpful.
Hello world for ML :mushroom:
The algorithm k-nearest-neighbor with an anonymous data set, in Python.