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, 14 total medals)
- Notebooks: 515 out of 163,069 (Expert)
- Discussion: 205 out of 190,289 (Expert)
Computer vision
- Cassava Leaf Disease Classification: top-1% [Summary] [GitHub]
- SIIM-ISIC Melanoma Classification: top-1% [Summary] [Blog post]
- RANZCR Catheter and Line Position Challenge: top-5% [Summary] [GitHub]
- Prostate Cancer Grade Assessment Challenge: top-6%
- APTOS 2019 Blindness Detection: top-9% [GitHub] [Blog post]
- RSNA STR Pulmonary Embolism Detection: top-13% [Blog post]
Tabular data
- Google Analytics Customer Revenue Prediction: top-2% [GitHub]
- IEEE-CIS Fraud Detection: top-3% [GitHub]
- Home Credit Default Risk: top-4% [GitHub]
- 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% [GitHub]
- Riiid! Answer Correctness Prediction: top-7%