Popular GitHub Repositories for K Nearest Neighbours

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

Perform face recognition in video stream for registered members

Basic Machine Learning Algorithms tutorials (Linear Regression, Logistic Regression, SVM, Random Forest, Bagging, KNN, K-Means ...)

Emotion recognition from EEG data (Bachelor's thesis), using the DEAP dataset. Performed manual feature selection across three domains: time, frequency, and time-frequency. Used different classifiers, including XGBoost, AdaBoost, Random Forest, k-NN, SVM, etc.

Part of my PhD thesis - a framework for reconstruction of damaged AIS data, consisting of 3 stages: clustering, anomaly detection and prediction

L'algorithme kNN pour k-nearest neighbors ou k plus proches voisins est l'un des algorithmes les plus utilisés en Machine Learning + Hyperparameters Tuning.

For this project I played around with and trained 2 machine learning algorithms to see which would classify the iris data set more accurately.

Applied Logistic Regression, Decision Tree, K-Nearest Neighbor algorithms and parameter tuning