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Porfolio Projects
This project is a case study of the Movielens dataset, which contains anonymous ratings of approximately 3,900 movies made by 6,040 MovieLens users. The goal of the project is to explore the data, find features that affect movie ratings, and build a model to predict movie ratings.
Exploring LiDAR dataset (mainly LASer data) with Open3D