Question: In the context of supervised learning algorithms, explain when we should use each of these models: Linear Regression, Logistic Regression, Decision Tree, Randon Forest, Regression

In the context of supervised learning algorithms, explain when we should use each of these models: Linear Regression, Logistic Regression, Decision Tree, Randon Forest, Regression Tree, Neural Network. Make a flowchart showing reasons for the decision among all of them based on information from the input data. Do something as detailed as possible, not just separating into classification and regression problems.

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