Machine Learning. Time Series. Boosting. Ensemble
Machine Learning is the method that computers have to learn patterns and behaviors through associations of different data. Within Machine Learning methods, this work focuses on Boosting and Ensemble techniques. Time Series Forecast Competitions are competitions that aim to evaluate and compare the accuracy of Time Series methods. In this project, we will use the Time Series database from the M3 competition to make predictions using the Series reference models storms. Afterward, we will train a Boosting model with the result of the predictions in order to obtain more efficient results in competitions.