  This is a method report for the Kaggle data competition 'Predict future
sales'. In this paper, we propose a rather simple approach to future sales
predicting based on feature engineering, Random Forest Regressor and ensemble
learning. Its performance turned out to exceed many of the conventional methods
and get final score 0.88186, representing root mean squared error. As of this
writing, our model ranked 5th on the leaderboard. (till 8.5.2018)
