What is KMeans? KMeans is a popular clustering algorithm used in machine learning and data analysis. It's used to partition…
What is K-nearest neighbours? K-Nearest Neighbours (KNN) is a simple and widely used classification and regression algorithm in machine learning.…
What is AdaBoost? AdaBoost, short for Adaptive Boosting, is a machine learning algorithm that belongs to the ensemble learning techniques.…
What is gradient boosting? Gradient Boosting is a powerful machine learning technique for classification and regression tasks. It's an ensemble…
What is grid search? Grid search is a hyperparameter tuning technique commonly used in machine learning to find a given…
What is softmax regression? Softmax regression, or multinomial logistic regression or maximum entropy classifier, is a machine learning technique used…
What is multi-class classification in machine learning? Multi-class classification is a machine learning task that aims to assign input data…
What is active learning in machine learning? Active learning is a machine learning technique that involves iteratively selecting and labelling…
Outlier detection in machine learning Outlier detection is a task in machine learning and data analysis involving identifying points that…
What is zero-shot classification? Zero-shot classification is a machine learning approach in which a model can classify data into multiple…