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Exam contains 62 questions

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Question 19 🔥

What is used to scale large positive values during data cleaning?

Question 20 🔥

What is an example of a supervised machine learning algorithm that can be applied to a continuous numeric response variable?

Question 21 🔥

A neural network is trained for a classification task. During training, you monitor the loss function for the train dataset and the validation dataset, along with the accuracy for the validation dataset. The goal is to get an accuracy of 95%. Questions and Answers PDF 8/21 From the graph, what modification would be appropriate to improve the performance of the model?

Question 22 🔥

Which measure can be used to show business stakeholders the likelihood that a machine learning model will generate a true prediction?

Question 23 🔥

When communicating technical results to business stakeholders, what are three appropriate topics to include? (Choose three.)

Question 24 🔥

A new test to diagnose a disease is evaluated on 1152 people, and 106 people have the disease, and 1046 people do not have the disease. The test results are summarized below: In this sample, how many cases are false positives and false negatives?

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