Tag: Kaggle
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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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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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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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Advanced Feature Engineering for Financial Time-Series
Engineer 15 financial features for time-series ML: RSI, MACD, Bollinger Bands, lag returns. Code templates for pandas and feature validation.
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ํฌํธํด๋ฆฌ์ค ์์ฑ ๊ฐ์ด๋: Kaggle ํ๋ก์ ํธ๋ฅผ ์ค๋ฌด ๊ฒฝํ์ผ๋ก ์ดํํ๋ ๋ฐฉ๋ฒ
Turn Kaggle projects into job offers: structure your portfolio to show business impact, not just accuracy scores. Real hiring manager tips.
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๊ณ ๊ฐ ์ดํ ์์ธก ํ๋ก์ ํธ: ์ค๋ฌด์์ ์ฐ์ด๋ ๋จธ์ ๋ฌ๋ ํ์ดํ๋ผ์ธ ๊ตฌ์ถํ๊ธฐ
Customer churn pipeline: handle class imbalance, engineer retention features, and deploy XGBoost with 0.87 ROC-AUC. Production-ready code.
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EDA ๋ง์คํฐํ๊ธฐ: ํ์ดํ๋ ๋ฐ์ดํฐ๋ก ๋ฐฐ์ฐ๋ ํ์์ ๋ฐ์ดํฐ ๋ถ์ ์ค์ ๊ธฐ๋ฒ
EDA beyond histograms: find the 3 Titanic variables that predict survival better than passenger class. Correlation heatmap + interaction plots.
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๋ฐ์ดํฐ๋ถ์ ์ทจ์ ์ค๋น ๋ก๋๋งต: Kaggle ๋ฐ์ดํฐ์ ์ผ๋ก ์์ํ๋ ์ค๋ฌด ํ๋ก์ ํธ ์ ๋ฌธ
Data analyst roadmap: 5 Kaggle projects that replicate real job tasks (EDA, ML pipeline, time series, A/B test). Zero to portfolio in 8 weeks.