3- Gradient Boosting
Explore gradient boosting, a tree-based machine learning technique that builds models sequentially to improve accuracy by learning from mistakes of previous decision trees. Learn the step-by-step implementation process including data preparation, model setting, and evaluation to enhance performance in regression and classification.
We'll cover the following...
We'll cover the following...
Introduction to gradient boosting
Like random forests, boosting provides yet another regression/classification technique for aggregating the outcome of multiple decision trees.
Rather than building random independent variants of a decision tree in ...