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Tutorials
5 posts. See all posts.
Capacity planning from ops metrics: forecasting traffic, CPU and queue depth
Forecast CPU, traffic and queue depth with quantiles and alert when the 0.95 quantile crosses a limit, on AWS metrics from the Numenta Anomaly Benchmark.
Forecasting crypto price ranges and volatility: what a forecasting model can and cannot tell you
Crypto prices are close to a random walk, so the median says little and the band is the forecast. A tutorial on BTCUSDT hourly data with a calibration check.
Forecasting electricity load and solar output with prediction intervals
A tutorial on Open Power System Data for Germany: daily and weekly seasonality, horizons in steps, weather covariates and solar's night zeros.
Forecasting sensor and IoT readings: missing data, sampling rates and many series at once
How to forecast sensor data honestly: handle gaps without inventing values, pick a frequency string and batch many sensors, on UCI Air Quality.
How to forecast store sales with promotions and holidays as covariates
A tutorial on the Rossmann Store Sales data: send promotions and holidays as known-future covariates, batch 64 stores per call, and pick a stock quantile.