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0:29
YouTube
Chain
🔍 Understanding CatBoost Classification The Best Boosting Algorithm for Categorical Data
Hi Everyone ! CatBoost is a Supervised Learning Algorithm that enhances gradient boosting by handling categorical features natively, making it one of the best models for customer segmentation, recommendation systems, and business analytics. 📊 What is CatBoost Classification? CatBoost improves Gradient Boosting by: Eliminating the need for ...
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CatBoost Vs XGBoost
After Mastering CatBoost vs XGBoost, Meet Your New Obsession: Cyclic Boosting (The Algorithm That Thinks Like a Jazz Musician)
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Aick Amato on Instagram: "🌟 Get Started with XGBoost! 🌟 🚀 Ready to supercharge your machine learning projects? XGBoost is your go-to tool for boosting performance! Here’s how to get started: • 📦 Install XGBoost: pip install xgboost • 📚 Import Libraries: import xgboost as xgb • 📊 Prepare Data: Load and preprocess your dataset • ⚙️ Create DMatrix: dtrain = xgb.DMatrix(data, label=label) • 🔧 Set Parameters: Define model parameters like learning rate, max depth, etc. • 🚴♂️ Train Model: mode
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