ML Zoomcamp 2023 – Deep Learning – Part 8

Adjusting the learning rate What’s the learning rate ? Let’s use an analogy. Imagine that learning rate is how fast you can read and you read one book per quarter. That means you can read 4 books per year. Somebody else can read 1 book per day, so he can read many books per year.Continue reading “ML Zoomcamp 2023 – Deep Learning – Part 8”

ML Zoomcamp 2023 – Decision Trees and Ensemble Learning– Part 12

XGBoost parameter tuning – Part 1/2 This part is about XGBoost parameter tuning. It’s the first part of a two-part series, where we begin by tuning the initial parameter – ‘eta‘. The subsequent article will explore parameter tuning for ‘max_depth‘ and ‘min_child_weight‘. In the final phase, we’ll train the final model. Let’s start tuning theContinue reading “ML Zoomcamp 2023 – Decision Trees and Ensemble Learning– Part 12”