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Activity 5: Detecting Credit Card Fraud (python, sklearn)
For this activity, I figured a lot of the data I have been messing around with wouldn't really work that well with Naive Bayes. But I ran into a dataset among the Kaggle datasets that looked perfect for Naive Bayes. It's a big file (with cleaned data) with anonymous data for 284,807 transactions. You can see my notebook here: 

I would love input, especially into how I can improve the accuracy (the ROC score is .89 for test data). Let me know!

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About Becoming A Data Scientist is a blog created by Renee Teate to track her path from "SQL Data Analyst pursuing an Engineering Master's Degree" to "Data Scientist". She created this club so participants can work together and help one another learn data science. See her other site DataSciGuide for more learning resources.

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