Unsupervised Learning
Understand clustering techniques like K-Means and hierarchical clustering.
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Unsupervised Learning
Unsupervised learning is a type of machine learning where the algorithm learns patterns from unlabeled data. It is often used for clustering, dimensionality reduction, and anomaly detection.
In this lesson, you’ll explore clustering techniques like K-Means and hierarchical clustering.
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What is Unsupervised Learning?
Unsupervised learning involves analyzing and grouping data without predefined labels. It aims to identify hidden structures or patterns in the data.
Key tasks include:
- Clustering: Grouping similar data points.
- Dimensionality Reduction: Reducing the number of features while retaining important information.