Machine Learning
K-Nearest Neighbor (KNN) classification
K-Nearest Neighbor (KNN) classification is a simple yet effective machine learning algorithm that can be us…
K-Nearest Neighbor (KNN) classification is a simple yet effective machine learning algorithm that can be us…
K-means clustering is a popular unsupervised machine learning algorithm used to group similar data points i…
Ward's method is a popular hierarchical clustering algorithm used to group similar data points into clu…
Decision trees are a popular machine learning algorithm used for both regression and classification problem…
There are two main types of classification in machine learning: binary classification and multiclass classi…
Classification is a type of machine learning task where the goal is to predict the class or category of a n…
Logistic regression is a statistical method used to model the relationship between a dependent variable and…
Linear regression is a statistical method used to model the relationship between a dependent variable and o…
Parametric and nonparametric are two types of statistical models used in machine learning and other data an…
Supervised learning algorithms are a type of machine learning algorithm that require labeled data for train…
Unsupervised learning algorithms are a type of machine learning algorithm that do not require labeled data …
Machine learning is a subfield of artificial intelligence that focuses on developing algorithms and statist…