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@@ -16,7 +16,7 @@ The talk included a lot of content from the following projects:
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2. [Identifying Fraud from Enron Email Dataset](https://github.com/pranavsuri/PyData-EDA/tree/master/Identifying%20Fraud%20from%20Enron%20Email%20Dataset): This project includes a section which uses EDA to remove outliers.
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## Message
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-The meet-up was a great experience as I got meet some amazing people. I certainly look forward to collaborating on a new project. One of the ideas I have is to explore datasets on different beverages (such as [white wine](https://archive.ics.uci.edu/ml/datasets/wine+quality)) or maybe some food items.
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+The meet-up was a great experience as I met some amazing people. I certainly look forward to collaborating on new projects. One of the ideas I have is to explore datasets on different beverages (such as [white wine](https://archive.ics.uci.edu/ml/datasets/wine+quality)) or maybe some food items.
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## License
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[MIT License © Pranav Suri](/License.txt)
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