Unsupervised learning involves training models on unlabeled data to find patterns or relationships within the data. This topic will explore clustering algorithms like K-means clustering, hierarchical clustering, and dimensionality reduction techniques like PCA.
The first topic in every unit is free to read. Upgrade to unlock the rest of the Machine Learning Fundamentals syllabus, downloadable notes, and CATs.
Upgrade to Unlock