Research the two major categories of predictive analytics, which include regression and classification. Compare and contrast when each of these may be used as well as the characteristics of the data needed to satisfy these algorithms. Choose a specific algorithm within each category, and construct pseudocode of how the algorithm operates on an identified dataset.

Predictive analytics is typically categorized into regression and classification. Regression techniques are used to predict numerical outcomes. Classification techniques are used to predict categorical outcomes. For this discussion, complete the following:

• Research both regression and classification prediction algorithms.
• Compare and contrast when regression or classification should be used.
• Provide the characteristics and assumptions of the use of regression algorithms and the use of classification algorithms.
• Choose specific algorithm within each category, and provide pseudocode on how it works.