I enjoy taking part at machine learning competitions on Kaggle. This page summarizes my achievements and provides links to GitHub repos, blog posts and reports detailing my solutions. Check out my Kaggle profile to see more.

Highest user rank

  • Competitions: 307 out of 157,015
  • Notebooks: 526 out of 158,941
  • Discussion: 259 out of 185,698

Computer vision

  • 🥇 Cassava Leaf Disease Classification: top-1% (3900 teams) [Summary] [GitHub]
  • 🥇 SIIM-ISIC Melanoma Classification: top-1% (3314 teams) [Summary] [Blog post]
  • 🥉 Prostate Cancer Grade Assessment Challenge: top-6% (1010 teams)
  • 🥉 APTOS 2019 Blindness Detection: top-9% (2931 teams) [GitHub] [Blog post]
  • 🥉 RSNA STR Pulmonary Embolism Detection: top-13% (784 teams) [Blog post]

Tabular data

  • 🥈 Google Analytics Customer Revenue Prediction: top-2% (3611 teams) [GitHub]
  • 🥈 IEEE-CIS Fraud Detection: top-3% (6381 teams) [GitHub]
  • 🥈 Home Credit Default Risk: top-4% (7190 teams) [GitHub]
  • 🥉 COVID-19 mRNA Vaccine Degradation Prediction: top-6% (636 teams)
  • 🥉 Instant Gratification: top-6% (1832 teams)
  • 🥉 Mechanisms of Action Prediction: top-10% (4373 teams)

Time series

  • 🥈 PLAsTiCC Astronomical Classification: top-5% (1094 teams) [GitHub]
  • 🥉 Riiid! Answer Correctness Prediction: top-7% (3395 teams)