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8. Does the collection, organization, or classification of data require special software? - Write an article to describe how machine learning software can be used to solve an interesting problem. This article should include: A brief discussion of the interesting problem and how it is solved with machine learning. Include information about how you collected your data, what your data looks like, and what type of problem you need to solve. You should discuss how you would train a machine learning model. You can use some of the code you write here for the Kaggle Notebook to describe your approach to solving the problem. A few examples: Bias in a prediction: we can use machine learning to predict what class a student will take. The problem is that the model is biased. The bias can be reduced by excluding race, gender, etc. Out of sample prediction: We can predict the outcome of a loan by looking at the previous five years of data. So we can predict if the loan is likely to be repaid, but we can't tell if it will be repaid within five years. Predicting whether a transaction is fraudulent: We predict if a transaction was fraudulent by looking at previous transactions. We know if the transaction was fraudulent because a credit card was stolen. he's perfectly fine." "I don't understand why they had to drag him to the hospital." "Why do you always have to make things so difficult for yourself?" "I'm not making things difficult." "I'm just telling you that he's okay." "He's fine." "We'll see him tonight." "It's just too bad it had to happen when we were all together." "I didn't have the heart to tell the kids." "They're still at their father's." "You don't have to say anything." "I know they have to be excited." "I'm not." "When I was eight, my father flew me and my brother to the Poconos for a summer vacation." "I was the only one to survive a blood disease." "My mom had been dead a year." "It was during the nuclear freeze." "When he told us, he looked like he was going to cry." "How could he look happy?" "I'm happy that he's okay, but it makes



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