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Q4. After completing Introduction to Machine Learning on NPTEL, you have landed a job as a Data Scientist at YumEll Solutions Inc. Your first assignment as a trainee is to learn a classifier given some data and present insights on it to https://www.cheaperseeker.com/u/f9qlrqo923, your manager, who apparently doesn’t seem to have any knowledge on Machine https://touch-wiki.win/index.php?title=Best_custom_research_paper_site Learning. Which of the following classification models would you pick to best explain the nature of the data and the underlying distribution to your manager? Q6. Train an l2 regularized logistic regression classifier on the modified iris dataset. We recommend using sklearn. Use only the first two features for your model. We encourage you to explore the impact of varying different hyperparameters of the model. Kindly note that the c programming basic assignments parameter mentioned below is the inverse of the regularization parameter λ. As part of the assignment train a model with the following hyperparameters:Model: logistic regression with one-vs-rest classifier, C=1e4For the above set of hyperparameters, report the best classification accuracy