Unsupervised Machine Learning. K-Means & Hierarchical Clustering

Unsupervised machine learning is a branch of machine learning where models are trained on data without labelled outcomes. Unlike supervised learning, where the goal is to predict a known target, unsupervised learning focuses on discovering hidden patterns, structures, or relationships within the data. Common tasks in unsupervised learning include : Clustering (grouping similar data points) Dimensionality reduction Clustering is the process of grouping data points such that points within the same