Time Series Forecasting, Machine Learning, Data Science, Python, Analytics.
the fitted models was 0.51 (RMSLE) and the total (if we compare all of our predictions with the actual values and not averaging the score for each family and store) was 0.85 (RMSLE). After submitting the results of our best ML model (Random forest) and the predictions of the fitted Prophets we got