It can be fun to sift through dozens of data sets to find the perfect one, but it can also be frustrating to download and import several csv files, only to realize that the data isn’t that interesting after all. If you’ve ever worked on a personal data science project, you’ve probably spent a lot of time browsing the internet looking for interesting data sets to analyze. You can find links to the other individual posts in this series at the bottom of the post. This is the fifth post in a series of posts on how to build a Data Science Portfolio.
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