During this challenge, we are going to predict the arrival delay of each airplane. We are given 2 data sets: train and test. Each data set contains many features that we will explore, try to find eventual correlations between them and select the most useful ones to predict the house price. Finally, we will test and compare a few models trained on this data in order to select the model with the best performance.
Note: The Data was collected from Kaggle (https://www.kaggle.com/c/eurecom-aml-2021-challenge-1/data)