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Berk Sudan
developerData & AI Engineer | Alumnus - MSc Data Engineering and Analytics @ TUM
Public projects
GCN-Text-Classification
Text Classification using Graph Convolutional Neural Networks and Natural Language Processing Techniques
Pythondeep-learninggraph-attention-networksgraph-convolutional-networks
OTMISC-Topic-Modeling-Tool
We created a topic modeling pipeline to evaluate different topic modeling algorithms, including their performance on short and long text, preprocessed and not preprocessed datasets, and with different embedding models. Finally, we summarized the results and suggested how to choose algorithms based on the task.
Jupyter Notebook20newsgroupbertopicctm
Real-time-Emotion-Detection
8 emotions detected in real-time with ~77% accuracy. Used: OpenCV, Python 3, Keras, Data Preprocessing, Deep Learning & Machine learning Techniques.
Pythoncomputer-visiondeep-learningemotion-detection
ML-101-Course
Introduction to Machine Learning Course by Berk Sudan and Mesut Şafak Bilici
Success-Prediction-on-E-Learning
A distributed classification tool developed as a graduation project. Used: Big Data Analysis, Java 8, Spark, Web Mining, Machine Learning.
Pythonapache-sparkclassification-algorithmlogistic-regression
Likely stack
PyTorch
