A Machine Learning Specialist is planning to train a model using Amazon SageMaker to determine the impact of weather conditions on the air quality of a city. The ML Specialist wants to forecast the NO2 concentration for the next 7 days. She will be using 5 years' worth of data that has roughly about 40,000 observations. As much as possible, the model must provide cheap inference costs. Which algorithm should be used to build the model?