Archives
- 24 Apr Five Archetypes at the Top of YouTube: Creator Segmentation on the Global Top-995
- 24 Apr 93,000 Customers and No Repeats: Olist Brazilian E-Commerce Analytics
- 24 Apr When a Naive Baseline Beats LightGBM: Bike-Sharing Demand with Proper Time-Series CV
- 24 Apr Geography Beats the Odometer: NYC Taxi Trip Duration Prediction
- 24 Apr Quality, Then Area, Then Everything Else: Ames Housing with Stacked Ensembles
- 24 Apr When the Description Field Does the Work: A Netflix Content Recommender
- 24 Apr A Spotify Recommender That Returns Rhythm-of-Love for a Death-Metal Query
- 24 Apr Room Type First, Geography Second: Airbnb NYC 2019 Price Modelling
- 24 Apr Contract Type Eats the Rest: Telco Customer Churn with SHAP
- 24 Apr The Default Threshold Is the Bug: Credit Card Fraud on the ULB Benchmark
- 23 Apr Auditing a 15,225-Image Tomato Leaf Disease Dataset Before Training a Single Model
- 23 Apr Ranking 528,000 FDA Adverse Event Reports by Hospitalization Risk
- 23 Apr The One Human a 99.84 Percent AI Text Detector Got Wrong
- 23 Apr A Classifier That Reads No Articles Still Hits F1 = 1.000 on This Fake News Benchmark
- 23 Apr Why I Picked the Less Accurate Model for Stroke Screening
- 21 Apr When Kawasaki Disease Started Looking Like a Weather Map
- 21 Apr The California Housing Dataset Is Mostly a Geography Lesson