There are 6 repositories under k-nearest-neighbours topic.
Plain python implementations of basic machine learning algorithms
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Text Classification Algorithms: A Survey
🔥🌟《Machine Learning ć Ľç‰©ĺż—ă€‹: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!đź’Ş This repository is ALL You Need!
:art: Color recognition & classification & detection on webcam stream / on video / on single image using K-Nearest Neighbors (KNN) is trained with color histogram features by OpenCV.
Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation
Absolute balanced kdtree for fast kNN search.
A simply budget app that predicts where the expenses are being made
Heart Disease prediction using 5 algorithms
Interactive K-Nearest Neighbors machine learning algorithm in JavaScript.
🏆 A Comparative Study on Handwritten Digits Recognition using Classifiers like K-Nearest Neighbours (K-NN), Multiclass Perceptron/Artificial Neural Network (ANN) and Support Vector Machine (SVM) discussing the pros and cons of each algorithm and providing the comparison results in terms of accuracy and efficiecy of each algorithm.
TiMBL implements several memory-based learning algorithms.
A brief summary of various algorithms. Each algorithm provides examples written in Python, Ruby and GoLang.
A repository for a machine learning project about developing a hybrid movie recommender system.
VĂdeos e cĂłdigos do Universo Discreto ensinando o fundamental de Machine Learning em Python. Para mais detalhes, acompanhar a playlist listada.
Data Science Massive Open Online Course: All the code, notes and supplementary materials generated during the course of my data scientific learning.
GTZAN Music Genre Dataset Classification
Machine Learning Model for Order Demand Prediction based on historical Order data - Built for Swiggy Hackathon 2018
Semester project for Tishreen university.
Classification is the process of predicting the class of given data points. Classes are sometimes called as targets/ labels or categories.
A pure quantum knn classifier for a gated quantum computer.
This is a binary classification problem related with Autistic Spectrum Disorder (ASD) screening in Adult individual. Given some attributes of a person, my model can predict whether the person would have a possibility to get ASD using different Supervised Learning Techniques and Multi-Layer Perceptron.
Feature Tracking and testing of various keypoint detector/descriptor combinations, keypoint matching using Brute Force and FLANN approach.
python-timbl, originally developed by Sander Canisius, is a Python extension module wrapping the full TiMBL C++ programming interface. With this module, all functionality exposed through the C++ interface is also available to Python scripts. Being able to access the API from Python greatly facilitates prototyping TiMBL-based applications.
Find the closest xterm-256 colors (between 0 and 255) to an arbitrary HTML hexa color (e.g. #ABCDEF)
Supervised Learning Models used to predict outcomes of football matches
Exploring QSAR Models for Activity-Cliff Prediction
python library to perform Locality-Sensitive Hashing for faster nearest neighbors search in high dimensional data
The respository is for Machine learning basiscs.
knn with cosine similarity (distance)
This Repository Contains R-Codes executed on various Datasets in RStudio. I Hope This Repository is very helpful for those who are Willing to build their Career in Data Science, Big Data.
A collection of algorithms done in JavaScript with visual demos
Open-source vector database built to embedding similarity search