How to learn the decision tree algorithms random forest and XGBoost further?

Can anyone suggest to me how should I gain more in-depth insights about the decision trees, random forests, and XGBoost?

Kaggle deals with them in its various free courses, you can have a look in there. Also if you search you could find literature about them.

Sure thank you so much, just one more thing can you help me with suggesting a great book for the same and further topics as well?

No I haven’t read much books myself…but googling can help :slight_smile: