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Time Series Nested Cross-Validation – Towards Data Science
This blog post discusses the pitfalls of using traditional cross-validation with time series data. Specifically, we address 1) splitting a time series without causing data leakage, 2) using nested…
forecasting 
8 days ago by pgeurin
Backtesting Time Series models — Weekend of a Data Scientist
Hi! Just wanna share some thoughts about evaluating Machine Learning models when you working with Time Series data. When it comes to evaluating your model there are straightforward steps you can…
forecasting 
8 days ago by pgeurin
GitHub - antoinecarme/pyaf: PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.
PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules. - antoinecarme/pyaf
forecasting 
12 days ago by pgeurin
MAPE (Mean Absolute Percentage Error) | IBF.org
MAPE stands for Mean Absolute Percentage Error which is a formula used for calculating error in a statistical forecast, measuring the size of the predicted error as a percentage.
forecasting 
12 days ago by pgeurin

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