A tutorial to tune xgboost with user-defined metrics, parallelized tuning, a little of prediction, and feature selection. For now, tutorial in R.
-
Updated
Jul 7, 2020 - R
A tutorial to tune xgboost with user-defined metrics, parallelized tuning, a little of prediction, and feature selection. For now, tutorial in R.
A comparative breakdown of traditional econometric timeseries models vs. more modern ML methods for predicting a retail firm's sales over a short to medium horizon
Add a description, image, and links to the xgboost-tuning topic page so that developers can more easily learn about it.
To associate your repository with the xgboost-tuning topic, visit your repo's landing page and select "manage topics."