This is a collection of course projects developed during my MSc in Data Science at the Athens University of Economics and Business.
| Course | Keywords |
|---|---|
| Data Science Challenge | Graph Neural Networks, NLP, OpenAI, Prompt Engineering, PyTorch. |
| Data Visualization | R, Tidyverse, Tableau, Data Analytics, Business Analytics. |
| Deep Learning | Domain Adaptation, Transfer Learning, Image Classification, PyTorch, DANN. |
| Large Scale Data Management | Hadoop, MapReduce, Docker, Vagrant, Kafka, (Py)Spark, Cassandra, Java. |
| Machine Learning | Regression, Regularization, Classification, HSI processing. |
| Numerical Optimization | Regression, Classification, Dimensionality Reduction, SVD, PageRank, NLP, LSA, CA, Hierarchical Clustering, Document Similarity, PSO. |
| Practical Data Science | Web-scraping, RegEx, NLP, Prompt Engineering, Authorship detection. |
| Text Analytics | NLP, Sentiment Analysis, POS-Tagging, Deep Neural Networks, MLPs, RNNs, CNNs, Transformers, Keras-TF. |
| SQL | Database Design, ETL Process, Data Transformation, Performance Optimization. |
I would like to thank all my professors for setting-up this challenging educational journey for us. The teaching assistants for their endless support. All of my classmates for being the best full-time-team ever. Thank you.
Professors:
- Ion Androutsopoulos
- Panagiotis Liakos
- Dimitrios Karlis
- Konstantinos Koutroubas
- Theofilos Mailis
- Lilian Mitrou
- Giannis Nikolentzos
- Nikolaos Platis
- John Pavlopoulos
- Paris Vassalos
- Ioannis Vrontos
- Themos Stafylakis
Assistants:
- Konstantinos Bourazas
- Foivos Charalampakos
- Konstantina Liagkou
- Spiridoula Xenaki
The uploaded files appear exactly as they were submitted. They have been purposefully NOT corrected or embellished, in order to reflect my personal growth and the level of detail I could provide under such demanding circumstances.