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75 lines (75 loc) · 2.1 KB
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{
"@context": "https://doi.org/10.5063/schema/codemeta-2.0",
"@type": "SoftwareSourceCode",
"name": "Kaggle Competitions",
"description": "Competition solutions, notebooks and write-ups from Kaggle, with the Kaggle Learn certificates and badges earned alongside them.",
"identifier": "KAGGLE-COMPETITIONS",
"license": [
"https://spdx.org/licenses/MIT.html",
"https://spdx.org/licenses/CC-BY-4.0.html"
],
"programmingLanguage": [
"Python",
"Jupyter Notebook",
"Markdown"
],
"author": [
{
"@type": "Person",
"givenName": "Amey",
"familyName": "Thakur",
"@id": "https://orcid.org/0000-0001-5644-1575"
}
],
"dateCreated": "2026-03-06",
"dateReleased": "2026-08-16",
"codeRepository": "https://github.com/Amey-Thakur/KAGGLE-COMPETITIONS",
"developmentStatus": "complete",
"runtimePlatform": [
"Python 3.10+",
"Kaggle Notebooks"
],
"keywords": [
"competitive data science",
"machine learning",
"feature engineering",
"notebooks",
"Badges",
"Certifications",
"Competitions",
"Data Science",
"Deep Learning",
"Feature Engineering",
"Kaggle",
"Kaggle Competition",
"Kaggle Courses",
"Kaggle Notebook",
"Kaggle Solution",
"Kaggle Titanic",
"Machine Learning",
"Portfolio",
"Python",
"Simulation",
"AI Mathematical Olympiad",
"Connect X",
"Evading AI-Generated Text Detection",
"AI Hallucination Visualizer",
"House Prices",
"Kaggriculture",
"LLM Classification Finetuning",
"Attention Span",
"Predict Customer Churn",
"Predicting Smartphone Addiction",
"Triagegeist",
"Reproducibility",
"Memory",
"Diagnostics",
"Amey Thakur",
"amey",
"ameythakur",
"amey-thakur",
"ameyarc"
],
"url": "https://www.kaggle.com/ameythakur20",
"version": "2.0.0"
}