xgboost

Everything about xgboost

1. Article · AI Agents

   Hybrid Credit Scoring: Where Classical Models End and LLMs Begin in Enterprise Fintech

   In our hybrid architecture, the classical XGBoost model produces a deterministic probability of default from tabular features. The LLM layer then analyzes business plans, owner letters, and other unstructured documents to identify qualitative risk signals that classical models cannot see. Through RAG, the system retrieves relevant underwriting policies to ensure the LLM's adjustments align with institutional guidelines. The synthesis agent combines these outputs into a final decision with full explainability.

   Tuhin PaulSep 243,7121,000
   
2. Video · AI Agents

   Automating XGBoost Hyperparameter Tuning with Agentic

   Learn how to automate XGBoost hyperparameter tuning using Agentic AI techniques. In this session, Chaitanya Teegala explains practical optimization strategies, AutoML workflows, and intelligent tuning approaches for improving machine learning model performance at scale.

   CSharp TVMay 62,853250
3. Article · Machine Learning

   🌟 Bagging vs Boosting in Machine Learning

   This article breaks down Bagging (Bootstrap Aggregating) and Boosting, two popular techniques for combining multiple models. Learn how they differ in approach, data sampling, and focus (variance vs. bias reduction). Discover real-world use cases and when to choose Random Forest (Bagging) or XGBoost (Boosting) for optimal results.

   ATAvnii ThakurSep 24, 20254,1231,000
4. Article · Machine Learning

   XGBoost 101

   Learn how to install XGBoost with Anaconda and use it in Amazon SageMaker for classification, regression, and ranking problems.

   Ojash ShresthaSep 16, 20217,9551,000
5. Article · Machine Learning

   XGBoost - The Choice Of Most Champions

   In this article, we’ll learn about XGBoost, its background, its widely accepted usage in competitions such as of Kaggle’s and help you build an intuitive understanding of it with diving into the foundation of this algorithm.

   Ojash ShresthaSep 14, 202111,7351,000