Forecasting, Explained
From fundamental concepts to advanced techniques — everything you need to master forecasting.
Whether you're a business analyst predicting next quarter's sales, a data scientist building ML pipelines, or a student learning statistics — this blog is for you.
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Statistical vs Foundation Models — Is Traditional Forecasting Dead?
Foundation models dominate benchmarks. Statistical methods are losing. But a third approach is emerging — Understanding-first Forecasting. Real experiments on GIFT-Eval, real numbers, no hype.
Read articleForecasting Models Explained — From ETS and ARIMA to Foundation Models
A deep dive into 22 statistical models and the new wave of foundation models. ETS, ARIMA, Theta, GARCH, Croston — then Chronos-2, TimesFM, Moirai, and more. When each shines, when each struggles.
Read articleYour First Forecast in Python — Step by Step
From zero to prediction in 15 minutes. Load data, analyze patterns, generate forecasts with confidence intervals, compare 30+ models, and export results — all in Python.
Read articlePython Forecasting Libraries Compared — Which One Should You Use?
statsmodels, statsforecast, Prophet, Darts, sktime, NeuralForecast, and more — an honest comparison of every major Python forecasting library with benchmarks, code examples, and decision guide.
Read articleHow Do We Know If a Forecast Is Any Good?
Benchmarks, metrics, and the M Competitions — the scientific method behind measuring forecast accuracy. From MAE to OWA, learn what separates real accuracy from marketing.
Read articleAll Posts
Statistical vs Foundation Models — Is Traditional Forecasting Dead?
Foundation models dominate benchmarks. Statistical methods are losing. But a third approach is emerging — Understanding-first Forecasting. Real experiments on GIFT-Eval, real numbers, no hype.
Forecasting Models Explained — From ETS and ARIMA to Foundation Models
A deep dive into 22 statistical models and the new wave of foundation models. ETS, ARIMA, Theta, GARCH, Croston — then Chronos-2, TimesFM, Moirai, and more. When each shines, when each struggles.
Your First Forecast in Python — Step by Step
From zero to prediction in 15 minutes. Load data, analyze patterns, generate forecasts with confidence intervals, compare 30+ models, and export results — all in Python.
Python Forecasting Libraries Compared — Which One Should You Use?
statsmodels, statsforecast, Prophet, Darts, sktime, NeuralForecast, and more — an honest comparison of every major Python forecasting library with benchmarks, code examples, and decision guide.
How Do We Know If a Forecast Is Any Good?
Benchmarks, metrics, and the M Competitions — the scientific method behind measuring forecast accuracy. From MAE to OWA, learn what separates real accuracy from marketing.
What Is Forecasting?
The one concept behind every business decision. Learn what forecasting really means, why it matters, and how it works — no math required.