MVA - Scatterplots, Faces, Curves and PCPs
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MVA - Scatterplots, Faces, Curves and PCPs
Presents multivariate statistical analysis in a comprehensive way, including the most useful approaches to multi-dimensional data Features numerous examples and exercises, including real-world applications Provides the underlying R and MATLAB or SAS code, equipping readers to reproduce all computations
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Requirements
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General Overview
Description
- Scatterplots
- Chernoff's Flurry Faces
- Andrew's Curves
- Parallel Coordinate Plots
Courses that include this CL
Meet the instructors !
Raul Cristian Bâg and is a PhD student at HU Berlin. His general research interests are Machine Learning, MLOps, Research Transparency and Reproducibility and Decentralised Finance. He currently has the role of Teaching Assistant at the Faculty of Business Administration in foreign languages where he will be teaching seminars that include a range of subjects from Statistics and Data Analytics to Blockchain. Currently, he also works part time as a senior cloud engineer at a private corporate company. This helps him keep in touch with the latest industry trends and technologies.