knn-classifier

pavankalyan1997/Machine-learning-without-any-libraries

This is a collection of some of the important machine learning algorithms which are implemented with out using any libraries. Libraries such as numpy and pandas are used to improve computational complexity of algorithms

kennedyCzar/STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDA

Forecast stock prices using machine learning approach. A time series analysis. Employ the Use of Predictive Modeling in Machine Learning to Forecast Stock Return. Approach Used by Hedge Funds to Select Tradeable Stocks

ilia10000/LO-Shot

Papers and code related to 'Less Than One'-Shot (LO-Shot) Learning

thieu1995/mafese

Feature Selection using Metaheuristics Made Easy: Open Source MAFESE Library in Python

jonghough/jlearn

Machine Learning Library, written in J

Devtown-India/Yoga-Pose-Estimation-App

This is a Yoga Pose Estimation App which can be able to detect the yoga pose in real time by using posenet and KNN Classifier. Here the dataset used is custom data set which consists of 3 videos for representing 3 different postures. It is deployed in heroku. One Thing to be noted i.e this will work correctly for all mobile and edge devices.

Moeinh77/IBM-final-project-Machine-Learning

Final project of IBM's course https://www.coursera.org/learn/machine-learning-with-python on coursera

kortirso/elixir_learn_kit

Elixir library for machine learning

the-mrinal/ML-Notebook

Karma of Humans is AI

athiyadeviyani/IGAudit

#FakersGonnaFake: using simple statistical tools and machine learning to audit instagram accounts for authenticity

GroenteLepel/qiskit-quantum-knn

A pure quantum knn classifier for a gated quantum computer.

ksdkamesh99/KNN-Visualiser

It is a best Visualiser for implementing K-Nearest Neighbours Algorithm with 3 different classes i.e A,B,C. It is developed using ml5.js and p5.js.

thieu1995/MHA-FS

The biggest module developed with complete focus on Feature Selection (FS) using Meta-Heuristic Algorithm / Nature-inspired evolutionary / Swarm-based computing.

vzhomeexperiments/FALCON_A

Expert Advisor based on Falcon Template and kNN trading algorithm

zikry009/Diabetes_Prediction_Portal

Diabetes Prediction is my weekend practice project. In this I used KNN Neighbors Classifier to trained model that is used to predict the positive or negative result. Given set of inputs are BMI(Body Mass Index),BP(Blood Pressure),Glucose Level,Insulin Level based on this features it predict whether you have diabetes or not.

VenkateshBH99/Hybrid-Random-Forest-Linear-Model

Heart disease prediction using normal models and hybrid random forest linear model (HRFLM)

cabustillo13/Resolvedor-de-Sudoku

Resolver Sudoku de genina.com

NahidEbrahimian/Machine-Learning

Machine Learning algorithms Implementation from Scratch

Sparxxz/Recommendation-System-Collabrative-Filtering

Premier Experience for Loyal eCommerce Customers

mcabinaya/Bank-Marketing-Data-Analysis

Machine Learning/Pattern Recognition Models to analyze and predict if a client will subscribe for a term deposit given his/her marketing campaign related data

evernext10/Hand-Gesture-Recognition-Machine-Learning

Automatic method for the recognition of hand gestures for the categorization of vowels and numbers in Colombian sign language based on Neural Networks (Perceptrons), Support Vector Machine and K-Nearest Neighbor for classifier /// Método automático para el reconocimiento de gestos de mano para la categorización de vocales y números en lenguaje de señas colombiano basado en redes neuronales (perceptrones), soporte de máquina vectorial y K-vecino más cercano para clasificador

joshwcheung/csci-567

My solutions for the USC course CSCI 567: Machine Learning

deepanshu-Raj/Adaptive-Learning

This repo contains of various components of the Interactive web app : Edu Squad , designed on the theme of Adaptive Learning. Features are implemented, so as to help make the virtual Learning fun & efficient

earthat/Optimal-Feature-selection-for-KNN-classifier

This MATLAB code implements the binary Grass hopper optimization algorithm to select the features and train with KNN

Johnny-Knighten/k-nearest-neighbors

KNN using brute force and ball trees implemented in Python/Cython

nirab25/Insurance-Claim-Fraud-Detection

Insurance claim fraud detection using machine learning algorithms.

PancakePrediction/Pancake_Pridction_KNN

For Pancake Pridction, Try to use the machine learning algorithm KNN to predict it.

Ralireza/ml-newbie

simple implementation of machine learning algorithm in pyhton

ahmed2m/Age-estimation-project

A pattern recognition project to estimate age using KNN, SVM and CNN

SohelRaja/Customer-Churn-Analysis

Implementation of Decision Tree Classifier, Esemble Learning, Association Rule Mining and Clustering models(Kmodes & Kprototypes) for Customer attrition analysis of telecommunication company to identify the cause and conditions of the churn.

EngineersBox/NewsAggregator

A fast, searchable, knowledge engine using various machine learning models to aggregate based on importance, association and relevance

leihao1/Comparison-of-Machine-Learning-Prediction-Models

Compared different classification and regreesion models performance in scikit-learn by applying them on 20 datasets from UCL website.

pragmaticpython/k-nearest-neighbors-python

An implementation of the K-Nearest Neighbors algorithm from scratch using the Python programming language.

RoobiyaKhan/Classification-Models-Using-R

Various Classification models used are Logistic regression, K-NN, Support Vector Machine, Kernel SVM, Naive Bayes, Decision Tree Classification, Random Forest Classification using R

smritig19/PCOS_Diagnosis_System