Titanic prediction

notebook.ipynb

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   "source": [
    "import pandas as pd"
   ]
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   "source": [
    "train=pd.read_csv(\"train.csv\")\n",
    "test=pd.read_csv(\"test.csv\")"
   ]
  },
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   "execution_count": 8,
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     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(891, 12)\n",
      "(418, 11)\n"
     ]
    }
   ],
   "source": [
    "print(train.shape)\n",
    "print(test.shape)"
   ]
  },
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   "cell_type": "code",
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   "id": "e835574a-e03f-4823-ba5d-d955553bed99",
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    "tags": []
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   "source": [
    "preds=[0]*418"
   ]
  },
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   "cell_type": "code",
   "execution_count": 11,
   "id": "eecea174-aa89-4425-b28d-0e4a6f14fc89",
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    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>PassengerId</th>\n",
       "      <th>Survived</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
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       "<p>418 rows × 2 columns</p>\n",
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      ],
      "text/plain": [
       "     PassengerId  Survived\n",
       "0            892         0\n",
       "1            893         0\n",
       "2            894         0\n",
       "3            895         0\n",
       "4            896         0\n",
       "..           ...       ...\n",
       "413         1305         0\n",
       "414         1306         0\n",
       "415         1307         0\n",
       "416         1308         0\n",
       "417         1309         0\n",
       "\n",
       "[418 rows x 2 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "submission=pd.DataFrame({\n",
    "    'PassengerId':test['PassengerId'],\n",
    "    'Survived':preds\n",
    "})\n",
    "submission"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "70f8dc5e-93ed-41be-87d9-cbd6c1b15060",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "submission.to_csv(\"submission.csv\", index=False)"
   ]
  }
 ],
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