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15:28
YouTube
Data Science with Onur
Master XGBoost in Python: The Ultimate Step-by-Step Guide for Beginners!
In this comprehensive XGBoost tutorial, we dive deep into the theory and practical implementation of one of the most powerful machine learning algorithms. Whether you're a beginner or looking to sharpen your skills, this video will walk you through the entire process of using XGBoost with Python code and Scikit-learn. We'll cover everything ...
2.5K views
Nov 30, 2024
XGBoost Machine Learning
Machine Learning Specialization
deeplearning.ai
7 months ago
0:30
Sistem klasifikasi smartphone berbasis XGBoost Machine Learning yang membantu Anda menemukan smartphone yang tepat sesuai kebutuhan #machinelearning #webdeveloper #pythonprogramming #programming
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🚀 Excited to share my latest machine learning project: Bank Customer Churn Prediction! I've built a comprehensive ML pipeline that predicts which bank customers are likely to churn with 87% accuracy using: 🔹 **Algorithms Used:** LightGBM, XGBoost, CatBoost 🔹 **Key Features:** Age, Balance, Geography, Activity Status 🔹 **Performance:** 0.872 ROC-AUC Score **Key Insights:** • German customers have 32% higher churn rate • Inactive members are 2.5x more likely to leave • Customers with 2 product
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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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XGBoost 2.0 is out with some great new features, including support for multi-target trees with vector-leaf outputs and learning to rank problems. XGBoost is widely used for solving tabular problems. (The update was released a few months ago, but that still new in the world of gradient boost machines) XGBoost: https://github.com/dmlc/xgboost Background Video by Trippy Clicker: https://www.pexels.com/video/panning-shot-of-the-sea-at-sunset-6202759/ AI Characters by Parrot AI
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