Unsupervised Learning

Understand the importance of unsupervised learning tasks such as clustering and dimensionality reduction and implement them using the sklearn library.

Unsupervised learning aims to find patterns and structures within the given data. Learning algorithms in this category work on the input features without labels, i.e., the features are provided to unsupervised methods with no corresponding output labels.

Get hands-on with 1200+ tech skills courses.