Machine Learning for Event-Participation Network Data

In a combination with data science and computer science approaches the goal of this project is to use machine learning to predict project duration and success in decision-making processes, focusing on actor relationships and project characteristics as the key features. With the proposed research, we aim to enhance the efficiency of processes by predicting project timelines and success probabilities.