Understanding Artificial Intelligence: The Basics of AI

Assignment Task

1. Write briefly on the following: Support Vector Regression, Decision Tree Regression, Random Forest Regression, Ridge Regression and Lasso Regression.

2. Implement the regressors in question (1) to predict sales using the Marketing_Data provided on Canvas and compare their results. Comparatively discuss your findings!

3. (a) What feature in the Marketing Data best predict sales. (b) Based on your findings in (a), do you think simple linear regression is better than Multiple Linear Regression for predicting sales from the Marketing Data? Explain your findings.

4. Check the effect of the use of 3 different values of k-fold cross validation on the performance of any three classifiers of your choice in terms of accuracy and F1 score using the Marketing_Data.

5. With reference to the results you obtained in (4) above, did the use of ensemble learning models improve your results?

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