autoML-FDR
This blog is about automating training of 500+ Flight data recorders(FDR) alarms using Machine Learning. On selection of certain hyperparameters, we get an analysis of which algorithm is best suited for training the dataset. This article explains the workflow of automating FDR, data pre processing, feature engineering and training. In the end, what challenges were faced while building this tool have been discussed, explaining how through autoML we can understand the challenges of the domain and provide useful insight for further advancing the state-of-the-art in several directions.