Predicting which category an observation belongs to

Predicting continuous outcomes

Grouping similar data points together.

Reducing dimensionality while minimising information loss

Reducing the number of features or combining them in new ways

Identifying anomalies or outliers in the data

Handling imbalance in dataset labels with resampling

Filling in missing data points in a dataset

Extracting insights or patterns from textual data

Analyzing and manipulating visual data

Models that learn a probability distribution from data