k-nearest-neighbours

#算法刷题#Plain python implementations of basic machine learning algorithms

#计算机科学#Practice and tutorial-style notebooks covering wide variety of machine learning techniques

#计算机科学#Text Classification Algorithms: A Survey

🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!

#计算机科学#🎨 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.

#计算机科学#Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

#算法刷题#Absolute balanced kdtree for fast kNN search.

#计算机科学#Source files for "Fun Q: A Functional Introduction to Machine Learning in Q"

#计算机科学#Heart Disease prediction using 5 algorithms

#计算机科学#A simply budget app that predicts where the expenses are being made

#计算机科学#Exploring the connections between artworks with deep "Visual Analogies"

#计算机科学#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) disc...

#计算机科学# TiMBL implements several memory-based learning algorithms.

#算法刷题#A brief summary of various algorithms. Each algorithm provides examples written in Python, Ruby and GoLang.

#计算机科学#A repository for a machine learning project about developing a hybrid movie recommender system.

#计算机科学#Vídeos e códigos do Universo Discreto ensinando o fundamental de Machine Learning em Python. Para mais detalhes, acompanhar a playlist listada.

#计算机科学#Data Science Massive Open Online Course: All the code, notes and supplementary materials generated during the course of my data scientific learning.

#计算机科学#Machine Learning Model for Order Demand Prediction based on historical Order data - Built for Swiggy Hackathon 2018

Classification is the process of predicting the class of given data points. Classes are sometimes called as targets/ labels or categories.