Tag: XGBoost
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XGBoost vs LightGBM vs CatBoost: Kaggle Tabular Benchmark
Compare XGBoost, LightGBM, and CatBoost performance on real Kaggle datasets. Speed, accuracy, and memory benchmarks reveal the winner.
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Threshold Alarms vs ML: 4-Week Python CBM Migration
Compare threshold vs ML-based condition monitoring in Python. 4-week migration guide with FFT, LSTM anomaly detection, and live industrial examples.
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Chocolate Sales: EDA to ML in Two Kaggle Notebooks
A complete walkthrough of the Kaggle Chocolate Sales dataset โ from interactive Plotly EDA to predicting revenue with Ridge, Random Forest, XGBoost, and a Keras neural network.
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XAI in Practice: SHAP and LIME for Model Interpretation
SHAP vs LIME for XGBoost: when game theory beats local approximations. Interactive tutorial reveals what drives your model's predictions.
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Building a Credit Risk Scoring Model with Machine Learning
Build a credit scoring model with XGBoost: 0.92 AUC-ROC achieved. SHAP explainability, feature engineering, and production deployment guide.
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๊ธ์ต๊ถ ์ด์๊ฑฐ๋ ํ์ง ๋ชจ๋ธ ์๋ฒฝ ๊ฐ์ด๋: AI๊ฐ ๊ธ์ต์ฌ๊ธฐ๋ฅผ ๋ง๋ ๋ฐฉ๋ฒ
Stop financial fraud with AI: compare Isolation Forest, Autoencoder, XGBoost, and GNN for real-time transaction anomaly detection with code.