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Please describe the steps you would take to generate an ROC curve using predicted probabilities and true labels.

What would a function look like that carries out certain tasks on a pandas dataframe?

Can you provide an overview of the steps involved in a typical data analysis process, from obtaining the data to communicating the results?

What do you see as the positive and negative aspects of employing SVMs?

I want to hear about a time when you had to work together on a project with a coworker who you didn't like.

From your experience in machine learning, could you explain the significance of the ROC curve?

Can you identify several optimization algorithms you have come across in your experience? How do you approach optimization when faced with a dataset containing a million variables? How is the simplex method applied to find solutions to optimization problems?

What makes you want to join Adobe?

Would you mind telling me what you know about Adobe?

Why have you applied to Adobe?