Using OpenML 1.ipynb

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   "source": [
    "import openml\n",
    "\n",
    "import numpy as np\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
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     "text": [
      "(2958, 16)\n",
      "did\n",
      "name\n",
      "version\n",
      "uploader\n",
      "status\n",
      "format\n",
      "MajorityClassSize\n",
      "MaxNominalAttDistinctValues\n",
      "MinorityClassSize\n",
      "NumberOfClasses\n",
      "NumberOfFeatures\n",
      "NumberOfInstances\n",
      "NumberOfInstancesWithMissingValues\n",
      "NumberOfMissingValues\n",
      "NumberOfNumericFeatures\n",
      "NumberOfSymbolicFeatures\n"
     ]
    }
   ],
   "source": [
    "# Fetching the list of all available datasets on OpenML\n",
    "d = openml.datasets.list_datasets(output_format='dataframe')\n",
    "print(d.shape)\n",
    "\n",
    "# Listing column names or attributes that OpenML offers\n",
    "for name in d.columns:\n",
    "    print(name)"
   ]
  }
 ],
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