Use several advanced Deep Learning techniques to achieve a private leaderboard accuracy of 99.98%:
- Use EDA to perform analysis on the training set, check for data missing, anomalies and correlation.
- Use Grid Search and Data Visualization to find out the best structure and fine-tune all the hyperparameters.
- VGG16 was found to be the suitable model for this problem