{
  "$schema": "https://raw.githubusercontent.com/codemeta/codemeta/master/codemeta.json",
  "name": "Bike Rental Demand Prediction",
  "description": "A machine learning model to predict bike rental demand based on environmental and temporal features.",
  "version": "1.0.0",
  "keywords": ["machine learning", "bike rental", "regression", "xgboost", "forecasting", "Seoul"],
  "creator": [
    {
      "@type": "Person",
      "name": "Lukas Kobler",
      "email": "e1427198@student.tuwien.ac.com",
      "affiliation": "Your Institution"
    }
  ],

  "repository": "https://github.com/lukaskobler/bike_demand_seoul",
  "softwareVersion": "1.0.0",
  "dependencies": [
    {
      "name": "xgboost",
      "version": "3.0.0"
    },
    {
      "name": "pandas",
      "version": "2.2.3"
    },
    {
      "name": "matplotlib",
      "version": "3.10.1"
    },
    {
      "name": "scikit-learn",
      "version": "1.6.1"
    }
  ],
  "license": "Apache 2.0",
  "identifier": "",
  "programmingLanguage": "Python",
  "runtime": "Python 3.11+",
  "howToCite": "Please cite as: Your Name, Bike Rental Demand Prediction, Version 1.0.0, GitHub Repository: https://github.com/lukaskobler/bike_demand_seoul",
  "sourceCode": "https://github.com/lukaskobler/bike_demand_seoul/blob/main/xgboost_seoul_bike_demand.ipynb",
  "keywords": ["bike rental", "forecasting", "machine learning", "regression", "xgboost"]
}