k-nearest-neighbours

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 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!

🎨 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.

Source files for "Fun Q: A Functional Introduction to Machine Learning in Q"

Heart Disease prediction using 5 algorithms

A simply budget app that predicts where the expenses are being made

Exploring the connections between artworks with deep "Visual Analogies"

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.

Vídeos e códigos 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.

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

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.