Studying and working on Generative AI and Machine Learning at NTT Data’s Excellence School

In this hackathon me and my team wanted to predict passengers' satisfaction considering their overall experience of traveling on the Shinkansen Bullet Train. We used 2 separate datasets: Travel data (information related to passengers and attributes related to the Shinkansen train in which they traveled) & Survey data (aggregated data of surveys indicating the post-service experience). We then preprocessed the data, split into train and test set and proceeded implementing various ML algorithms (SVM, Naive Bases, Random Forests, Gradient Boosting, CNN) in order to find the algorithm with the highest possible accuracy, without overfitting of course. My team ranked 3rd out of 40+ teams.