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Evaluation Metrics for Time Series Forecasting

Evaluation metrics, also known as performance measures or evaluative metrics, are quantitative measurements used to evaluate the performance and quality of a model or algorithm in solving a particular problem. It provides a standardized way to evaluate and compare different models and algorithms based on specific criteria. Error Metrics Error Read more…

By David Andrés, 2 yearsJuly 21, 2023 ago
Cheatsheets

Exponential Smoothing for Time Series Forecasting

A comprehensive Python cheat sheet on how to use Exponential Smoothing models for time series forecasting.

By David Andrés, 2 yearsMay 11, 2023 ago
Cheatsheets

ARIMA for Time Series Forecasting

A comprehensive Python cheat sheet on how to use ARIMA models for time series forecasting.

By David Andrés, 2 yearsApril 13, 2023 ago

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