Question 1 of 30
A data scientist is tasked with developing a predictive model to forecast sales for a retail company based on historical sales data, promotional activities, and seasonal trends. The data scientist considers using various machine learning algorithms, including linear regression, decision trees, and support vector machines. Which algorithm would be most appropriate for this scenario, considering the need for interpretability and the nature of the data?
Linear Regression
Decision Trees
Support Vector Machines
K-Nearest Neighbors

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