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Task1:words:250Describe multiple linear regression in your words and provide a business use case for using this technique.Task2:words:250Write a short paragraph on the following topics you learnt from Chapter 7 of the book. Describe Euclidean distance in your own words. What happens to the Euclidean distance when there are large number of features (columns)?Task1:words:250Describe the relationship of the Naïve Baye’s algorithm with the Bayes’ theorem. Also provide the strengths and weaknesses of this algorithmTask2:words:250Describe the difference between classification and regression trees and provide a business use case.Task4:Describe the constraints for using Logistic Regression. Also provide a business use case for the algorithm.words:250

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