📄 文章列表
25 篇文章
TDS
My Machine Learning Pipeline Cheated, and Cross-Validation Never Noticed
TDS
Does Stacking Beat Your Best Model?
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4 Claude Skills Every Data Scientist Needs in 2026
TDS
The Hot Path Belongs to GBDTs, Agents Own the Cold Path: A Payment-Fraud Benchmark
TDS
Why CatBoost Works So Well: The Engineering Behind the Magic
TDS
Exploring the Proportional Odds Model for Ordinal Logistic Regression
TDS
Explainable Anomaly Detection with RuleFit: An Intuitive Guide
TDS
Don’t Waste Your Labeled Anomalies: 3 Practical Strategies to Boost Anomaly Detection Performance
TDS
Exploratory Data Analysis: Gamma Spectroscopy in Python (Part 2)
TDS
Designing Trustworthy ML Models: Alan & Aida Discover Monotonicity in Machine Learning
TDS
How to Benchmark Classical Machine Learning Workloads on Google Cloud
TDS
A Visual Guide to Tuning Decision-Tree Hyperparameters
TDS
A Visual Guide to Tuning Gradient Boosted Trees
TDS
“Systems thinking helps me put the big picture front and center”
TDS
What to Do When Your Credit Risk Model Works Today, but Breaks Six Months Later
TDS
The Machine Learning and Deep Learning “Advent Calendar” Series: The Blueprint
TDS
The Machine Learning “Advent Calendar” Day 7: Decision Tree Classifier
TDS
The Machine Learning “Advent Calendar” Day 20: Gradient Boosted Linear Regression in Excel
TDS
The Machine Learning “Advent Calendar” Day 21: Gradient Boosted Decision Tree Regressor in Excel
TDS
Is Your Model Time-Blind? The Case for Cyclical Feature Encoding
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