Find DataSet[csv file from internet resources] with features of at least two and one output feature Ex: house , car data sets where they have features like [area, bedrooms, bathrooms and price] or...

{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"RangeIndex: 21613 entries, 0 to 21612\n",
"Data columns (total 21 columns):\n",
" # Column Non-Null Count Dtype \n",
"--- ------ -------------- ----- \n",
" 0 id 21613 non-null int64 \n",
" 1 date 21613 non-null object \n",
" 2 price 21613 non-null float64\n",
" 3 bedrooms 21613 non-null int64 \n",
" 4 bathrooms 21613 non-null float64\n",
" 5 sqft_living 21613 non-null int64 \n",
" 6 sqft_lot 21613 non-null int64 \n",
" 7 floors 21613 non-null float64\n",
" 8 waterfront 21613 non-null int64 \n",
" 9 view 21613 non-null int64 \n",
" 10 condition 21613 non-null int64 \n",
" 11 grade 21613 non-null int64 \n",
" 12 sqft_above 21613 non-null int64 \n",
" 13 sqft_basement 21613 non-null int64 \n",
" 14 yr_built 21613 non-null int64 \n",
" 15 yr_renovated 21613 non-null int64 \n",
" 16 zipcode 21613 non-null int64 \n",
" 17 lat 21613 non-null float64\n",
" 18 long 21613 non-null float64\n",
" 19 sqft_living15 21613 non-null int64 \n",
" 20 sqft_lot15 21613 non-null int64 \n",
"dtypes: float64(5), int64(15), object(1)\n",
"memory usage: 3.5+ MB\n"
]
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"

"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
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ELgCAwQQuAIDBBC4AgMEELgCAwQQuAIDBBC4AgMEELgCAwQQuAIDBBC4AgMEELgCAwQQuAIDBBC4AgMG2bXQBbF47jnvtXi1/7gkPGFQJAOzfho1wVdWtquqMZY8vV9VTRrUHALBZDRvh6u4PJ7lDklTVQUnOT/KqUe0BAGxW++oYrmOS/Ht3f2IftQcAsGnsq8D18CQvXW1GVR1bVbuqatfu3bv3UTkAAPvO8MBVVVdP8uAkL19tfnef2N07u3vn9u3bR5cDALDP7YsRrvslOb27L9wHbQEAbDr7InA9ImvsTgQAOBAMDVxVdc0kP5nklSPbAQDYzIZe+LS7v5rkOiPbAADY7NzaBwBgMIELAGAwgQsAYDCBCwBgMIELAGAwgQsAYDCBCwBgMIELAGAwgQsAYDCBCwBgMIELAGAwgQsAYDCBCwBgMIELAGAwgQsAYDCBCwBgMIELAGAwgQsAYDCBCwBgMIELAGAwgQsAYDCBCwBgMIELAGAwgQsAYDCBCwBgMIELAGAwgQsAYDCBCwBgMIELAGAwgQsAYDCBCwBgMIELAGAwgQsAYDCBCwBgMIELAGAwgQsAYDCBCwBgMIELAGAwgQsAYDCBCwBgMIELAGAwgQsAYDCBCwBgMIELAGAwgQsAYDCBCwBgMIELAGAwgQsAYDCBCwBgMIELAGAwgQsAYDCBCwBgMIELAGAwgQsAYDCBCwBgMIELAGAwgQsAYDCBCwBgsKGBq6qOrKpXVNWHqursqvrRke0BAGxG2wav/8+S/Et3P7Sqrp7kmoPbAwDYdIYFrqq6VpIfT/KYJOnubyb55qj2AAA2q5G7FG+aZHeSF1TVe6vqb6rqsJULVdWxVbWrqnbt3r17YDkAABtjZODaluROSf66u++Y5CtJjlu5UHef2N07u3vn9u3bB5YDALAxRgauTyX5VHe/a55+RaYABgBwQBkWuLr7M0nOq6pbzS8dk+SDo9oDANisRp+l+CtJ/nY+Q/GcJI8d3B4AwKYzNHB19xlJdo5sAwBgs3OleQCAwQQuAIDBBC4AgMEELgCAwQQuAIDBBC4AgMEELgCAwQQuAIDBBC4AgMEELgCAwQQuAIDBBC4AgMEELgCAwQQuAIDBBC4AgMEELgCAwQQuAIDBBC4AgMEELgCAwQQuAIDBBC4AgMEELgCAwQQuAIDBBC4AgMEELgCAwQQuAIDBBC4AgMEELgCAwQQuAIDBBC4AgMEELgCAwQQuAIDBBC4AgMEELgCAwQQuAIDBBC4AgMEELgCAwQQuAIDBBC4AgMEELgCAwQQuAIDBBC4AgMEELgCAwQQuAIDBBC4AgMEELgCAwQQuAIDBBC4AgMEELgCAwQQuAIDBBC4AgMEELgCAwQQuAIDBBC4AgMEELgCAwQQuAIDBBC4AgMEELgCAwQQuAIDBto1ceVWdm+TiJJcm+XZ37xzZHgDAZjQ0cM1+ors/uw/aAQDYlOxSBAAYbHTg6iRvqKrTqurY1RaoqmOraldV7dq9e/fgcgAA9r3Rgeuu3X2nJPdL8sSq+vGVC3T3id29s7t3bt++fXA5AAD73tDA1d2fnn9elORVSe48sj0AgM1oWOCqqsOq6oil50nuneSsUe0BAGxWI89SvG6SV1XVUjt/193/MrA9AIBNaVjg6u5zktx+1PoBAPYXLgsBADCYwAUAMJjABQAwmMAFADCYwAUAMJjABQAwmMAFADCYwAUAMJjABQAwmMAFADCYwAUAMJjABQAwmMAFADCYwAUAMJjABQAwmMAFADCYwAUAMJjABQAwmMAFADCYwAUAMJjABQAwmMAFADCYwAUAMJjABQAwmMAFADDYHgNXVd2yqt5UVWfN07erqt8eXxoAwNawyAjX85I8Pcm3kqS735fk4SOLAgDYShYJXNfs7neveO3bI4oBANiKti2wzGer6mZJOkmq6qFJLhhaFVeZHce9dq+WP/eEBwyqBAAOXIsEricmOTHJ91fV+Uk+nuSRQ6sCANhC9hi4uvucJPeqqsOSXK27Lx5fFgDA1rHIWYpPrqprJflqkj+tqtOr6t7jSwMA2BoWOWj+cd395ST3TvJ9SR6b5IShVQEAbCGLBK6af94/yQu6+8xlrwEAsAeLBK7TquoNmQLX66vqiCTfGVsWAMDWschZio9Pcock53T3V6vqOpl2KwIAsIBFAtfd5p+3q7InEQBgby0SuJ627PkhSe6c5LQk9xxSEQDAFrPIdbgetHy6qm6U5A+HVQQAsMUsctD8Sp9KcturuhAAgK1qjyNcVfUXme+jmCmg3SHJmSOLAgDYShY5hmvXsuffTvLS7v63QfUAAGw5ixzD9cKqunqSW84vfXhsSQAAW8siuxTvkeSFSc7NdIX5G1XVo7v71LGlAQBsDYvsUnx2knt394eTpKpumeSlSX5wZGEAAFvFImcpHrwUtpKkuz+S5OBxJQEAbC0LHTRfVSclefE8/XOZLnwKAMACFglc/y3JE5M8KdMxXKcm+auRRQEAbCWLnKX4jSR/Mj8AANhLi5yleNckxye58fLlu/um48oCANg6FtmleFKSX8103NalY8sBANh6FglcX+ru1w2vBABgi1ozcFXVneanb66qP0ryyiTfWJrf3acPrg0AYEtYb4Tr2Sumdy573knuedWXAwCw9awZuLr7J/ZlIQAAW9UiV5oHAOBKELgAAAZbM3BV1cPmnzfZd+UAAGw9641wPX3++Y9XpoGqOqiq3ltVr7ky6wEA2F+td5bi56rqzUluUlWvXjmzux+8YBtPTnJ2kmtdgfoAAPZ76wWuByS5U5IX5/KXiFhIVd1wXs8zk/zaFVkHAMD+br3LQnwzyTur6i7dvbuqjphe7kv2Yv3/K8lvJDlirQWq6tgkxybJ0UcfvRerBgDYPyxyluJ1q+q9Sc5K8sGqOq2qbrunN1XVA5Nc1N2nrbdcd5/Y3Tu7e+f27dsXqxoAYD+ySOA6McmvdfeNu/voJE+dX9uTuyZ5cFWdm+Tvk9yzql5yhSsFANhPLRK4DuvuNy9NdPcpSQ7b05u6++ndfcPu3pHk4Un+tbsfeUULBQDYX6130PySc6rqdzIdPJ8kj0zy8XElAQBsLYuMcD0uyfYkr5wfRyV57N400t2ndPcD9748AID93x5HuLr7C0metA9qAQDYktxLEQBgMIELAGAwgQsAYLA9Bq6qumVVvamqzpqnb1dVvz2+NACArWGREa7nJXl6km8lSXe/L9N1tQAAWMAigeua3f3uFa99e0QxAABb0SIXPv1sVd0sSSdJVT00yQVDq+Iydhz32r1a/twTHjCoEgDgilgkcD0x070Tv7+qzs90lXm36AEAWNAiFz49J8m9quqwJFfr7ovHlwUAsHUscpbi/6yqI7v7K919cVVdu6r+YF8UBwCwFSxy0Pz9uvuLSxPzrX7uP64kAICtZZHAdVBVXWNpoqoOTXKNdZYHAGCZRQ6af0mSN1XVCzKdqfi4JC8cWhUAwBayyEHzf1hV709yTJJK8vvd/frhlQEAbBGLjHClu1+X5HWDawEA2JLWDFxV9bbuvltVXZz5oqdLs5J0d19reHUAAFvAmoGru+82/zxi35UDALD1rHuWYlVdrarO2lfFAABsResGru7+TpIzq+rofVQPAMCWs8hB89dL8oGqeneSryy92N0PHlYVAMAWskjgesbwKgAAtrD1zlI8JMkTktw8yfuTnNTd395XhQEAbBXrHcP1wiQ7M4Wt+yV59j6pCABgi1lvl+Ktu/s/JUlVnZTk3fumJACArWW9Ea5vLT2xKxEA4Ipbb4Tr9lX15fl5JTl0nnaleQCAvbDeleYP2peFAABsVete+BQAgCtP4AIAGEzgAgAYTOACABhM4AIAGEzgAgAYTOACABhM4AIAGEzgAgAYTOACABhM4AIAGEzgAgAYTOACABhs20YXAFelHce9dq+WP/eEBwyqBAC+S+DaRwQBADhw2aUIADCYwAUAMJjABQAwmMAFADCYwAUAMJizFNl0nNEJwFZjhAsAYDCBCwBgMIELAGAwgQsAYDCBCwBgMIELAGAwgQsAYDCBCwBgMIELAGCwYYGrqg6pqndX1ZlV9YGqesaotgAANrORt/b5RpJ7dvclVXVwkrdV1eu6+50D2wQA2HSGBa7u7iSXzJMHz48e1R4AwGY19Biuqjqoqs5IclGSN3b3u1ZZ5tiq2lVVu3bv3j2yHACADTE0cHX3pd19hyQ3THLnqrrtKsuc2N07u3vn9u3bR5YDALAh9slZit39xSSnJLnvvmgPAGAzGXmW4vaqOnJ+fmiSeyX50Kj2AAA2q5FnKV4vyQur6qBMwe5l3f2age0BAGxKI89SfF+SO45aPwDA/sKV5gEABhO4AAAGE7gAAAYTuAAABhO4AAAGE7gAAAYTuAAABhO4AAAGE7gAAAYTuAAABhO4AAAGE7gAAAYTuAAABhO4AAAGE7gAAAYTuAAABhO4AAAGE7gAAAYTuAAABhO4AAAGE7gAAAYTuAAABhO4AAAGE7gAAAYTuAAABhO4AAAGE7gAAAYTuAAABhO4AAAGE7gAAAYTuAAABhO4AAAGE7gAAAYTuAAABhO4AAAGE7gAAAYTuAAABhO4AAAGE7gAAAYTuAAABhO4AAAGE7gAAAYTuAAABhO4AAAGE7gAAAYTuAAABhO4AAAGE7gAAAYTuAAABhO4AAAGE7gAAAYTuAAABhO4AAAGE7gAAAYTuAAABhO4AAAGE7gAAAYTuAAABhsWuKrqRlX15qo6u6o+UFVPHtUWAMBmtm3gur+d5KndfXpVHZHktKp6Y3d/cGCbAACbzrARru6+oLtPn59fnOTsJDcY1R4AwGa1T47hqqodSe6Y5F2rzDu2qnZV1a7du3fvi3IAAPap4YGrqg5P8o9JntLdX145v7tP7O6d3b1z+/bto8sBANjnhgauqjo4U9j62+5+5ci2AAA2q5FnKVaSk5Kc3d1/MqodAIDNbuQI112TPCrJPavqjPlx/4HtAQBsSsMuC9Hdb0tSo9YPALC/cKV5AIDBBC4AgMEELgCAwQQuAIDBBC4AgMEELgCAwQQuAIDBBC4AgMEELgCAwQQuAIDBBC4AgMEELgCAwQQuAIDBBC4AgMEELgCAwQQuAIDBBC4AgMEELgCAwQQuAIDBBC4AgMEELgCAwQQuAIDBBC4AgMEELgCAwQQuAIDBBC4AgMEELgCAwQQuAIDBBC4AgMEELgCAwQQuAIDBBC4AgMEELgCAwQQuAIDBBC4AgMG2bXQBsFnsOO61e7X8uSc8YFAlAGw1RrgAAAYTuAAABhO4AAAGE7gAAAYTuAAABhO4AAAGO+AuC+HUfwBgXzPCBQAwmMAFADDYAbdL8cqwOxIAuCKMcAEADCZwAQAMJnABAAwmcAEADCZwAQAMJnABAAzmshBwFXDJEADWY4QLAGAwgQsAYDCBCwBgMIELAGAwgQsAYDCBCwBgsGGBq6qeX1UXVdVZo9oAANgfjBzhOjnJfQeuHwBgvzAscHX3qUk+P2r9AAD7iw0/hquqjq2qXVW1a/fu3RtdDgDAVW7DA1d3n9jdO7t75/bt2ze6HACAq9yGBy4AgK1O4AIAGGzkZSFemuQdSW5VVZ+qqsePagsAYDPbNmrF3f2IUesGANif2KUIADCYwAUAMJjABQAwmMAFADCYwAUAMJjABQAwmMAFADCYwAUAMJjABQAwmMAFADCYwAUAMJjABQAwmMAFADCYwAUAMJjABQAwmMAFADCYwAUAMJjABQAw2LaNLgAAYD07jnvtXi1/7gkPGFTJFWeECwBgMIELAGAwgQsAYDCBCwBgMIELAGAwgQsAYDCBCwBgMNfhgg22Fa4vA8D6jHABAAwmcAEADCZwAQAMJnABAAwmcAEADCZwAQAMJnABAAwmcAEADCZwAQAMJnABAAwmcAEADCZwAQAMJnABAAwmcAEADCZwAQAMJnABAAwmcAEADCZwAQAMJnABAAwmcAEADCZwAQAMJnABAAwmcAEADCZwAQAMJnABAAwmcAEADCZwAQAMJnABAAwmcAEADCZwAQAMJnABAAw2NHBV1X2r6sNV9bGqOm5kWwAAm9WwwFVVByV5TpL7Jbl1ku6VRjkAAAbxSURBVEdU1a1HtQcAsFmNHOG6c5KPdfc53f3NJH+f5KcGtgcAsClVd49ZcdVDk9y3u39hnn5Ukh/u7l9esdyxSY6dJ2+V5MNDCtqzo5J8doPa3t/oq8Xpq8Xpq8Xpq8Xpq8Xpq8Ut9dWNu3v7Im/YNrCYWuW1y6W77j4xyYkD61hIVe3q7p0bXcf+QF8tTl8tTl8tTl8tTl8tTl8t7or01chdip9KcqNl0zdM8umB7QEAbEojA9d7ktyiqm5SVVdP8vAkrx7YHgDApjRsl2J3f7uqfjnJ65MclOT53f2BUe1dBTZ8t+Z+RF8tTl8tTl8tTl8tTl8tTl8tbq/7athB8wAATFxpHgBgMIELAGCwAz5wuf3Q3qmqc6vq/VV1RlXt2uh6NpOqen5VXVRVZy177Xur6o1V9dH557U3ssbNYo2+Or6qzp+3rTOq6v4bWeNmUFU3qqo3V9XZVfWBqnry/LrtahXr9Jdta4WqOqSq3l1VZ8599Yz5ddvWCuv01V5tVwf0MVzz7Yc+kuQnM13G4j1JHtHdH9zQwjaxqjo3yc7udnG8Farqx5NckuRF3X3b+bU/TPL57j5hDvTX7u7f3Mg6N4M1+ur4JJd09x9vZG2bSVVdL8n1uvv0qjoiyWlJHpLkMbFdXc46/fUzsW1dRlVVksO6+5KqOjjJ25I8Ocl/jm3rMtbpq/tmL7arA32Ey+2HuMp096lJPr/i5Z9K8sL5+Qsz/eN/wFujr1ihuy/o7tPn5xcnOTvJDWK7WtU6/cUKPblknjx4fnRsW5ezTl/tlQM9cN0gyXnLpj8Vv5x70kneUFWnzbdlYn3X7e4LkumPQZLv2+B6Nrtfrqr3zbscD/hdGctV1Y4kd0zyrtiu9mhFfyW2rcupqoOq6owkFyV5Y3fbttawRl8le7FdHeiBa6HbD3EZd+3uOyW5X5InzruG4Krw10luluQOSS5I8uyNLWfzqKrDk/xjkqd095c3up7NbpX+sm2torsv7e47ZLoTzJ2r6rYbXdNmtUZf7dV2daAHLrcf2kvd/en550VJXpVptyxru3A+rmTp+JKLNrieTau7L5z/UftOkufFtpUkmY8Z+cckf9vdr5xftl2tYbX+sm2tr7u/mOSUTMck2bbWsbyv9na7OtADl9sP7YWqOmw+EDVVdViSeyc5a/13HfBeneTR8/NHJ/nnDaxlU1v6R37207FtLR2se1KSs7v7T5bNsl2tYq3+sm1dXlVtr6oj5+eHJrlXkg/FtnU5a/XV3m5XB/RZikkyn8b5v/Ld2w89c4NL2rSq6qaZRrWS6bZQf6e/vquqXprkHkmOSnJhkt9N8k9JXpbk6CSfTPKw7j7gDxZfo6/ukWlovpOcm+SXlo4lOVBV1d2SvDXJ+5N8Z375tzIdl2S7WmGd/npEbFuXUVW3y3RQ/EGZBl9e1t2/V1XXiW3rMtbpqxdnL7arAz5wAQCMdqDvUgQAGE7gAgAYTOACABhM4AIAGEzgAgAYTOACNlxVXVpVZ1TVmVV1elXdZS/ff3xV/fqo+gCurG0bXQBAkq/Nt81IVd0nybOS3P3KrrSqtnX3t6/segCuLCNcwGZzrSRfWJqoqqdV1XvmG8Q+Y9nr/6OqPlxV/yfJrZa9fkpV/c+qekuSJ1fVMVX13qp6/3yD2WvMy631+rnz+99RVbuq6k5V9fqq+veqesK8zPWq6tR5VO6sqvqxfdQ3wH7KCBewGRxaVWckOSTJ9ZLcM0mq6t5JbpHpHmWV5NXzDdO/kulWXHfM9O/Y6UlOW7a+I7v77lV1SJKPJjmmuz9SVS9K8t+q6rlJTl75eqa7TiTJed39o1X1p/Nyd51r+0CS5yb5r0le393PrKqDklxzRKcAW4fABWwGy3cp/miSF1XVbTPdr/PeSd47L3d4pgB2RJJXdfdX5/esvAfqP8w/b5Xk4939kXn6hUmemOTNa7y+FLiW1vf+JId398VJLq6qr8/3VHtPkufPN0r+p+4+40r3ALCl2aUIbCrd/Y5M91jcnmlU61ndfYf5cfPuPmlp0XVW85X5Z60xf63Xl3xj/vmdZc+Xprd196lJfjzJ+UleXFU/v4f1AQc4gQvYVKrq+zPdJPZzSV6f5HFVdfg87wZV9X1JTk3y01V1aFUdkeRBa6zuQ0l2VNXN5+lHJXnLOq8vWuONk1zU3c9LclKSO+3NZwQOPHYpApvB0jFcyTT69OjuvjTJG6rqB5K8o6qS5JIkj+zu06vqH5KckeQTSd662kq7++tV9dgkL6+qbZl2BT63u7+x2ut7Ue89kjytqr4112SEC1hXda83Kg8AwJVllyIAwGACFwDAYAIXAMBgAhcAwGACFwDAYAIXAMBgAhcAwGD/P0L3sluiolXRAAAAAElFTkSuQmCC\n",
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"metadata": {
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},
"output_type": "display_data"
},
{
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