Anthony TherrienOptimizing Website Conversion Rates with Machine Learning: A Comprehensive Guide using LightGBMIn today’s data-driven world, understanding website performance is critical for businesses aiming to maximize conversions and enhance user…19h ago
Diogo LeitãoinTowards Data ScienceGradient Boosting: To Early Stop or Not To Early StopHow early stopping halves training time for models like LightGBM, XGBoost and CatBoost.Mar 23, 20235
Prit ManvarLightGBM Essentials: How it works and why it’s fast?What is LightGBM,Why is it fast,How lightGBM works, Gradient based one side sampling (GOSS),Exclusive Feature Bundling, XGBoost VS…Mar 2Mar 2
Shailendra pratap singhSales Prediction by Ensemble Learning Techniques — Bagging, Boosting, and StackingIn the dynamic world of retail, predicting future sales is more than just a competitive edge — it’s a necessity. Accurate sales…1d ago1d ago
Thomas BuryInterpretable ML 3: What nobody tells you about SHAP valuesOur journey through the intricacies of interpretable machine learning continues! In this episode, we’ll venture beyond simplistic…Feb 11Feb 11
Anthony TherrienOptimizing Website Conversion Rates with Machine Learning: A Comprehensive Guide using LightGBMIn today’s data-driven world, understanding website performance is critical for businesses aiming to maximize conversions and enhance user…19h ago
Diogo LeitãoinTowards Data ScienceGradient Boosting: To Early Stop or Not To Early StopHow early stopping halves training time for models like LightGBM, XGBoost and CatBoost.Mar 23, 20235
Prit ManvarLightGBM Essentials: How it works and why it’s fast?What is LightGBM,Why is it fast,How lightGBM works, Gradient based one side sampling (GOSS),Exclusive Feature Bundling, XGBoost VS…Mar 2
Shailendra pratap singhSales Prediction by Ensemble Learning Techniques — Bagging, Boosting, and StackingIn the dynamic world of retail, predicting future sales is more than just a competitive edge — it’s a necessity. Accurate sales…1d ago
Thomas BuryInterpretable ML 3: What nobody tells you about SHAP valuesOur journey through the intricacies of interpretable machine learning continues! In this episode, we’ll venture beyond simplistic…Feb 11
Mustafa ÇavuşoğluOptimizing LightGBM Using Optuna and MLFlowParameter optimization is one of the most popular subjects in machine learning. Today, we are going to optimize LightGBM using Optuna, and…6d ago
Simon MüllerOvercoming the Limitations of Tree-Based Models in Time Series ForecastingTree-based models like LightGBM, Random Forests, and XGBoost are powerful tools for various machine-learning tasks. However, they face a…Feb 52
Srijan RamavatLightGBM vs. XGBoost: A Comparative AnalysisGradient boosting algorithms are considered powerful tools to predict patterns in the machine learning field. In such a list of algorithms…Jul 20
