This week’s ML Zoomcamp deep dive covers how trees and ensembles form the foundation of predictive modeling.
<ul>
<li>Clean your credit scoring data</li>
<li>Train Decision Trees</li>
<li>Build Random Forests</li>
<li>Optimize XGBoost</li>
</ul>
I just published a deep dive on Decision Trees, Random Forests, and XGBoost — the algorithms that power most modern ML solutions.
Learn how they work &amp; how to tune them right 👉 <a href="https://medium.com/p/mastering-decision-trees-and-ensemble-learning-the-heart-of-machine-learning-models-e698f5112c9c?source=social.tw" target="_blank" rel="noopener nofollow">Medium</a>.
#MachineLearning #DecisionTrees #RandomForest #XGBoost #MLOps

Austin Deyan

A comprehensive guide covering decision trees, random forests, and XGBoost algorithms for predictive modeling. The tutorial walks through data cleaning for credit scoring, training decision trees, building random forest ensembles, and optimizing XGBoost models with practical tuning techniques.

🌳 Understanding Decision Trees, Random Forests & XGBoost – Explained Step-by-Step