Popular GitHub Repositories for Knn Classifier

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

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

Insurance claim fraud detection using machine learning algorithms.

simple implementation of machine learning algorithm in pyhton

Code Examples for using OpenPoseNet and ml5.js in p5.js; Based on the ?AI Aerobics: Moving with Machines? Project by SPACE10 and CIRG

sentiment-analysis,document-classification,svm,logistic-regression,rcnn-text-classification, cnn-text-classification, lstm-text-classification, naive-bayes-classifier, sklearn-classify, pytorch

This project involves training of Machine Learning models to predict the Heart Failure for Heart Disease event. In this KNN gives a high Accuracy of 89%.

Machine Learning course, University of Tehran, Dr. M Tavassolipour and Dr. MRA Dehaqani, Spring 2024

Machine Learning Recipes ? Datasets used here are available at Kaggle

naive bayes, logistic regression, KNN and K-means

COMPREHENSIVE WEB-BASED RECOGNITION SYSTEM FOR MULTI MODEL ANALYSIS

Machine Learning Practice Essemble Model Bagging, Using detailed EDA, Preprocessing Scheme, looking model with best performance F1 score, Hyperparamater Tunning for best models, and intrepertation

Tensorflow introduction (predictions, classification) from webcam