Kaggle

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

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

Highest user rank

  • 🏆 Competitions: 293 out of 159,203 (Master)
  • 📊 Notebooks: 330 out of 172,882 (Expert)
  • 📁 Datasets: 75 out of 40,289 (Expert)
  • 🗣 Discussion: 194 out of 207,694 (Expert)


Competitions

My competition medals are grouped by the application areas below. Follow the attached links for solution summaries, code and documentation.

Computer vision

  • 🥇 Cassava Leaf Disease Classification: top-1%
  • 🥇 SIIM-ISIC Melanoma Classification: top-1%
  • 🥈 BMS Molecular Translation: top-5%
  • 🥈 RANZCR Catheter and Line Position Challenge: top-5%  
  • 🥉 Prostate Cancer Grade Assessment Challenge: top-6%
  • 🥉 APTOS 2019 Blindness Detection: top-9%
  • 🥉 RSNA STR Pulmonary Embolism Detection: top-13%

Tabular data

  • 🥈 Google Analytics Customer Revenue Prediction: top-2%
  • 🥈 IEEE-CIS Fraud Detection: top-3%
  • 🥈 Home Credit Default Risk: top-4%
  • 🥉 COVID-19 mRNA Vaccine Degradation Prediction: top-6%
  • 🥉 Instant Gratification: top-6%
  • 🥉 Mechanisms of Action Prediction: top-10%

Time series

  • 🥈 PLAsTiCC Astronomical Classification: top-5%
  • 🥉 Riiid! Answer Correctness Prediction: top-7%


Top-rated notebooks