I’m new to XGBoost. I’ve worked on other machine learning algorithms in sklearn.
To better understand XGBoost, I’m looking to build a model on large-scale data prediction, such as credit card default prediction? I’m also looking for beginner tutorials. What are some best practices in XGBoost?
I saw a few articles and notebooks on medium. But with medium, it’s really hard to know if the person is an expert or he/she is doing it right.
So, I hope the real experts here could provide some directions. Thank you!