There are 3 repositories under knn-classifier topic.
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
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
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.
Final project of IBM's course https://www.coursera.org/learn/machine-learning-with-python on coursera
Elixir library for machine learning
Karma of Humans is AI
#FakersGonnaFake: using simple statistical tools and machine learning to audit instagram accounts for authenticity
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.
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.
A pure quantum knn classifier for a gated quantum computer.
Expert Advisor based on Falcon Template and kNN trading algorithm
Resolver Sudoku de genina.com
Machine Learning algorithms Implementation from Scratch
Heart disease prediction using normal models and hybrid random forest linear model (HRFLM)
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
Premier Experience for Loyal eCommerce Customers
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
My solutions for the USC course CSCI 567: Machine Learning
For Pancake Pridction, Try to use the machine learning algorithm KNN to predict it.
This MATLAB code implements the binary Grass hopper optimization algorithm to select the features and train with KNN
KNN using brute force and ball trees implemented in Python/Cython
Compared different classification and regreesion models performance in scikit-learn by applying them on 20 datasets from UCL website.
An implementation of the K-Nearest Neighbors algorithm from scratch using the Python programming language.
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.
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
A fast, searchable, knowledge engine using various machine learning models to aggregate based on importance, association and relevance
Best collection of machine learning & deep learning algorithms implemented from scratch using python.
All solved lab of FAST NUCES Lahore campus _ 2022 Spring
Fruit data with Colours