Personal academic projects from the MSc in Data Science at the Athens University of Economics and Business.
Ancient Greek corpus annotation and century classification using Convolutional Neural Networks.
💡 Technologies used: Python (sklearn, Tensorflow)
Spectral unmixing classification using ML approaches.
💡 Technologies used: Python (sklearn)
Timeseries and volatility forecasting using ARIMA and ARCH-type models.
💡 Technologies used: R
Statistical inference using medical data.
💡 Technologies used: R
Bi- and Tri-gram language models, and sentiment analysis through TF-IDF, Multi-Layer Perceptron and Transformer architecture.
💡 Technologies used: Python (sklearn, nltk, Tensorflow)
Least-Square optimization, Singular Value Decomposition and Pagerank applications.
💡 Technologies used: Python
Data management in distributed systems through Spark and MonetDB.
💡 Technologies used: Python (PySpark), MonetDB
Visualization applications.
💡 Technologies used: R (ggplot)
Image classification through MNIST and Mura datasets.
💡 Technologies used: Python (sklearn, Tensorflow)