What are some common data science techniques?

What are some common data science techniques?

Common data science techniques include regression analysis, classification, clustering, and data visualization.

Can you explain regression analysis?

Regression analysis is a statistical method used to model the relationship between a dependent variable and one or more independent variables.

What about classification techniques?

Classification techniques involve categorizing data into predefined classes, with methods like decision trees and support vector machines.

How is clustering different from classification?

Clustering is an unsupervised learning technique that groups similar data points together, while classification is supervised and uses labeled data.