**forecasting**

Time Series Nested Cross-Validation – Towards Data Science

forecasting

8 days ago by pgeurin

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…

8 days ago by pgeurin

Backtesting Time Series models — Weekend of a Data Scientist

forecasting

8 days ago by pgeurin

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…

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.

forecasting

12 days ago by pgeurin

PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules. - antoinecarme/pyaf

12 days ago by pgeurin

MAPE (Mean Absolute Percentage Error) | IBF.org

forecasting

12 days ago by pgeurin

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.

12 days ago by pgeurin