📄 文章列表
88 篇文章
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The Machine Learning “Advent Calendar” Day 14: Softmax Regression in Excel
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The Machine Learning “Advent Calendar” Day 15: SVM in Excel
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The Machine Learning “Advent Calendar” Day 16: Kernel Trick in Excel
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The Machine Learning “Advent Calendar” Day 17: Neural Network Regressor in Excel
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A Practical Toolkit for Time Series Anomaly Detection, Using Python
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The Machine Learning “Advent Calendar” Day 19: Bagging in Excel
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The Machine Learning “Advent Calendar” Day 20: Gradient Boosted Linear Regression in Excel
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The Machine Learning “Advent Calendar” Day 21: Gradient Boosted Decision Tree Regressor in Excel
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The Machine Learning “Advent Calendar” Day 22: Embeddings in Excel
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Is Your Model Time-Blind? The Case for Cyclical Feature Encoding
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The Machine Learning “Advent Calendar” Bonus 2: Gradient Descent Variants in Excel
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A Case for the T-statistic
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From Transactions to Trends: Predict When a Customer Is About to Stop Buying
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Causal ML for the Aspiring Data Scientist
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Stop Asking if a Model Is Interpretable
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The Causal Inference Playbook: Advanced Methods Every Data Scientist Should Master
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Two-Stage Hurdle Models: Predicting Zero-Inflated Outcomes
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Linear Regression Is Actually a Projection Problem, Part 1: The Geometric Intuition
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Building Robust Credit Scoring Models (Part 3)
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