{% extends "Test-layout.html" %} {% block content %}

Unsupervised Learning

Unsupervised learning is a type of machine learning that looks for previously undetected patterns in a dataset with no pre-existing labels and with a minimum of human supervision.

Clustering Algorithms

Used for grouping similar data points together.

K-Means Clustering Hierarchical Clustering DBSCAN Gaussian Mixture Models (GMM)

Dimensionality Reduction Algorithms

Used for reducing the number of features in a dataset while retaining important information.

Principal Component Analysis (PCA) t-Distributed Stochastic Neighbor Embedding (t-SNE) Linear Discriminant Analysis (LDA) Independent Component Analysis (ICA)

Association Rule Learning Algorithms

Used for discovering relationships between variables in large datasets.

Apriori Algorithm Eclat Algorithm
{% endblock %}