If you’ve ever worked on a personal data science project, you’ve probably spent a lot of time scouring the internet for interesting datasets to analyze. It can be fun to sift through dozens of datasets to find the best fit, but it can also be frustrating to download and import multiple CSV files, only to find that the data is just missing, not so interesting. Fortunately, there are online repositories that keep sets of data and (mostly) remove uninteresting ones. In this article, we’ll look at different types of data science projects, including data visualization projects, data cleansing projects, and machine learning projects, and identify the right places to find sets of data. data for each.