Additional sample notebooks can be found here: Notebooks Everywhere
Notebook | Purpose |
---|---|
automl-forecast-model.ipynb | uses AMLS automl to do time series forecasting with NYC energy dataset |
batch-inferencing.ipynb | demonstrates using AMLS pipelines for batch inferencing. We use the iris dataset as csvs in a AMLS dataset |
Deep Learning for Forecasting Time Series | using sample data we use CNNs and RNNs for energy demand forecasting |
NYC Energy Dataset Time Series forecasting using ARIMA | other approaches to time series forecasting |