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This project will build a platform for exploring large datasets and applying pre-built machine learning algorithms to the data. The team will implement a Java Spring-based web platform for uploading, browsing, and formatting datasets. In addition, the team will implement a variety of machine learning algorithms / techniques that can be applied to the data. The machine learning modules will primarily be implemented in Python.

The platform will focus on classification tasks. Users will be able to upload datasets in CSV or JSON and then select attributes of each data item to serve as labels. Once labeled datasets are available, users will be able to use graphical tools to draw a machine learning pipeline and choose algorithms to apply to the data without coding.

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