📄 文章列表

87 篇文章
TDS

The Machine Learning “Advent Calendar” Day 16: Kernel Trick in Excel

✅ completed ⭐ ★★★★★★ 2025-12-16
TDS

The Machine Learning “Advent Calendar” Day 17: Neural Network Regressor in Excel

✅ completed ⭐ ★★★★★★ 2025-12-17
TDS

4 Ways to Supercharge Your Data Science Workflow with Google AI Studio

✅ completed ⭐ ★★★★★★ 2025-12-18
TDS

The Machine Learning “Advent Calendar” Day 18: Neural Network Classifier in Excel

✅ completed ⭐ ★★★★★★ 2025-12-18
TDS

The Machine Learning “Advent Calendar” Day 22: Embeddings in Excel

✅ completed ⭐ ★★★★★★ 2025-12-22
TDS

Synergy in Clicks: Harsanyi Dividends for E-Commerce

✅ completed ⭐ ★★★★★★ 2025-12-23
TDS

The Machine Learning “Advent Calendar” Day 23: 1D CNN for Text in Excel

✅ completed ⭐ ★★★★★★ 2025-12-23
TDS

Exploring TabPFN: A Foundation Model Built for Tabular Data

✅ completed ⭐ ★★★★★★ 2025-12-27
TDS

The Machine Learning “Advent Calendar” Bonus 2: Gradient Descent Variants in Excel

✅ completed ⭐ ★★★★★★ 2025-12-31
TDS

Probabilistic Multi-Variant Reasoning: Turning Fluent LLM Answers Into Weighted Options

✅ completed ⭐ ★★★★★★ 2026-01-07
TDS

Causal ML for the Aspiring Data Scientist

✅ completed ⭐ ★★★★★★ 2026-01-26
TDS

Two-Stage Hurdle Models: Predicting Zero-Inflated Outcomes

✅ completed ⭐ ★★★★★★ 2026-03-18
TDS

My Models Failed. That’s How I Became a Better Data Scientist.

✅ completed ⭐ ★★★★★★ 2026-03-25
TDS

A Survival Analysis Guide with Python: Using Time-To-Event Models to Forecast Customer Lifetime

✅ completed ⭐ ★★★★★★ 2026-04-09
TDS

You Don’t Need Many Labels to Learn

✅ completed ⭐ ★★★★★★ 2026-04-17
TDS

Correlation vs. Causation: Measuring True Impact with Propensity Score Matching

✅ completed ⭐ ★★★★★★ 2026-04-22
TDS

How to Study the Monotonicity and Stability of Variables in a Scoring Model using Python

✅ completed ⭐ ★★★★★★ 2026-04-30
TDS

Learning Word Vectors for Sentiment Analysis: A Python Reproduction

✅ completed ⭐ ★★★★★★ 2026-05-11
TDS

From Raw Data to Risk Classes

✅ completed ⭐ ★★★★★★ 2026-05-15
TDS

LLM Themes Are Not Observations

✅ completed ⭐ ★★★★★★ 2026-05-21