Time Series

Statistics

Time Series

Trend, seasonality and forecasting.

Forecasting Hourly Store Traffic to Staff the Floor: Time Series from Math to Production 🛒

Statistics

Time Series

Forecasting

ARIMAX

Prophet

Gradient Boosting

MLOps

An end-to-end time series case study: forecast hourly customer arrivals at a grocery store, turn the forecast into a staffing plan with queueing theory, compare ARIMAX, Prophet and gradient boosting with rolling-origin validation, then save, ship, load and monitor the model.

Oct 3, 2026

65 min

Time Series: Dependence, Trend, Seasonality & Forecasting

Statistics

Time Series

Forecasting

Data Science

Learn why time breaks ordinary i.i.d. assumptions and connect decomposition, autocorrelation, backtesting and forecasting to practical ML.

Oct 1, 2026

3 min