**5. Conclusion**

The potential of using Gaussian Processes to improve the hyperparameters tuning is based on a strong mathematical model compared with other methods of hyperparameter tuning; this gives more confidence when looking for an optimized deep learning model. On the other hand, to use this method requires more time to compute the Bayesian search and it may be a thing to consider.

About the project, it does not pretend to end the airborne pollution problem, but it introduces a useful tool for the government and the citizen in order to prevent and plane his day because the model can make predictions along more than three hundred hours with high accuracy, so this gives 12 days to the corresponding users to avoid or prevent the contamination levels.
