Introduction to Unsupervised Learning
Unsupervised learning is a type of machine learning algorithm used to draw inferences from datasets consisting of input data without labeled responses.
Unsupervised learning models a density or grouping the data by reducing the dimensionality.
Common Techniques
- Clustering
- Principal Component Analysis (PCA)
- Association Rule Learning
- Autoencoders
Explore more about these fascinating techniques here!