Skip to content

brightertiger/kaggle

Repository files navigation

Kaggle Competition Solutions

A comprehensive collection of machine learning and deep learning solutions for various Kaggle competitions. This repository showcases advanced techniques in data science, computer vision, natural language processing, and ensemble methods.

Author

Ujjwal Singh Rao | Kaggle Master

Overview

This repository contains refactored and cleaned implementations of competition solutions, demonstrating:

  • Advanced ML Techniques: Ensemble methods, feature engineering, cross-validation
  • Deep Learning: CNN architectures, transfer learning, attention mechanisms
  • NLP Solutions: BERT, RoBERTa, TPU training, multilingual models
  • Computer Vision: Image classification, segmentation, medical imaging
  • Production-Ready Code: Modular design, comprehensive documentation, CLI interfaces

Competitions

🥇 Gold Medals

Competition Rank Teams Key Technologies
Jigsaw Multilingual Toxic Comment Classification #3 1,621 TPU, Multilingual BERT, XLM-RoBERTa
SIIM-ISIC Melanoma Classification #6 3,308 EfficientNet, Medical Imaging, TTA
TalkingData AdTracking Fraud Detection #16 3,943 LightGBM, Feature Engineering, Big Data

🥈 Silver Medals

Competition Rank Teams Key Technologies
Avito Demand Prediction Challenge #21 1,868 Ensemble, NLP, Image Features
Google QUEST Q&A Labeling #21 1,571 BERT, RoBERTa, Question Answering
Instacart Market Basket Analysis #22 2,621 Recommendation Systems, Feature Engineering
Santa Gift Matching Challenge #26 428 Optimization, Hungarian Algorithm
Toxic Comment Classification Challenge #29 4,539 RNN, CNN, Attention, NLP
SIIM-ACR Pneumothorax Segmentation #32 1,475 U-Net, Medical Imaging, Segmentation
Gendered Pronoun Resolution #41 838 BERT, Coreference Resolution
Santa's Workshop Tour 2019 #44 1,618 Optimization, Constraint Satisfaction
RSNA Intracranial Hemorrhage Detection #58 1,345 CNN, Medical Imaging, DICOM
APTOS 2019 Blindness Detection #75 2,928 EfficientNet, Diabetic Retinopathy
CommonLit Readability Prize #91 3,633 RoBERTa, Text Regression
Jigsaw Unintended Bias in Toxicity Classification #146 3,165 BERT, Bias Mitigation, NLP

🥉 Bronze Medals

Competition Rank Teams Key Technologies
iMet Collection 2019 - FGVC6 #61 521 ResNeXt, Multi-label Classification
Rainforest Connection Species Audio Detection #78 1,143 Audio CNN, Mel Spectrograms
Tweet Sentiment Extraction #208 2,225 RoBERTa, Token Classification
TGS Salt Identification Challenge #292 3,219 U-Net, Image Segmentation

📊 Other Competitions

Competition Rank Teams Key Technologies
Quick, Draw! Doodle Recognition Challenge #138 1,309 CNN, Sketch Recognition

Competition Statistics

Metric Value
Total Competitions 20
Gold Medals 3 🥇
Silver Medals 12 🥈
Bronze Medals 4 🥉
Highest Rank #3 / 1,621 (Jigsaw Multilingual)
Top 1% Finishes 8
Tier Kaggle Master

Domains Covered

  • NLP: Toxicity detection, sentiment analysis, Q&A, coreference resolution
  • Computer Vision: Medical imaging, segmentation, classification
  • Audio Processing: Species detection, spectrograms
  • Optimization: Combinatorial optimization, constraint satisfaction
  • Fraud Detection: Click fraud, ad tracking
  • Recommendation Systems: Market basket analysis

Repository Structure

Each competition folder includes:

  • src/ - Modular source code
  • main.py - CLI entry point
  • example_usage.py - Usage examples
  • requirements.txt - Dependencies
  • README.md - Competition-specific documentation

Quick Start

# Clone the repository
git clone https://github.com/brightertiger/kaggle.git
cd kaggle

# Navigate to a competition
cd jigsaw

# Install dependencies
pip install -r requirements.txt

# Run the pipeline
python main.py --help

Kaggle Master | Competitions Expert | ML Engineer

About

Kaggle Competitions + Playground

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Contributors 2

  •  
  •  

Languages