This repository contains code for the assignments of an introductory course to Data Science taught at RWTH Aachen University in Winter 22. The working datasets are a mix of synthetic and real-life data. Used technologies include pandas, sklearn, matplotlib, mlextend, nltk, gensim, pm4py, Docker, Hadoop MapReduce, and shell scripts.
For the datasets or reproducibility of the notebooks, please contact one of the contributors.
Contributors:
- Minh-Nghia Phan (minh.nghia.phan@rwth-aachen.de)
- Quang Truong (quang.truong@rwth-aachen.de)
- Khue Hoang (khue.hoang@rwth-aachen.de)
- Van Dao (van.dao@rwth-aachen.de)