Essential Techniques in Data Mining

Classification: Categorizes data into predefined groups or classes to help predict the category of new observations.

Clustering: Identifies natural groupings within data, enabling discovery of inherent structures without predefined labels.

Association Rule Learning: Finds interesting relationships between variables in large databases, often used for market basket analysis.

Regression Analysis: Predicts a numerical outcome based on input variables, essential for forecasting and finding trends.

Decision Trees: Constructs a tree-like model of decisions and their possible consequences, used for classification and regression tasks.