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Question 1: Import the credit card statistics from… ??Question 1: Import the credit card statistics from https://archive.Ics.Uci.Edu/ml/gadget-getting to know-databases/00350/defaultp.C20of%20creditpercent20cardpercent20clients.Xls without delay into a pandas DataFrame named df making sure you pass the pinnacle row while analyzing the dataset. Delete the ‘ID” column after uploading the records. Rename the column ‘PAY_0’ to ‘PAY_1’ and the column ‘default fee subsequent month’ to ‘payment_default’.1.1 Use the ideal scikit-learn library we learned in class to create the following NumPy arrays: y_train, y_test, X_train and X_test by splitting the data into sixty eight% teach and 32% test datasets. Set random_state to a few and stratify subsamples in order that train and check datasets have roughly equal proportions of the goal’s magnificence labels.1.2 Using approapriate scikit-analyze libararies we learned in class to match the subsequent classifiers to the training dataset built in Problem 1.Logistic Regression – call your example lr set random_state=fiveSupport Vector Machine with Linear Kernel – name your example svm_linear set C=5.Zero and random_state=5Support Vector Machine with RBF Kernel – call your instance svm_rbf set gamma = 20, C=five.Zero, random_state=fiveDecision Tree – name your instance tree set criterion=’entropy’, max_depth = five, random_state=fiveRandom Forest – call your instance woodland set criterion=’entropy’, n_estimators=20, random_state=5KNN – name your example knn set n_neighbors=7, p=2, metric=’minkowski’When initializing times of the above classifiers most effective set parameters furnished above and depart all other parameters same to their scikit-examine default valuesImage transcription textEvery student in a Computational Epidemiology class is either majoring in computer science;majoring in biology; or double-majoring in both. How many students are in the class if there are:100 students studying computer science (including those students who are doubl… Show more… Show moreImage transcription text1. Every student in a Computational Epidemiology class is either majoring in computer science;majoring in biology; or double-majoring in both. How many students are in the class if there are: .100 students studying computer science (including those students who are double-m… Show more… Show moreEngineering & TechnologyComputer ScienceCOMP 61411

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