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text stringlengths 2.05k 86.5M | id stringlengths 22 24 | file_path stringclasses 46
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {
"_cell_guid": "18945f44-29a1-92dc-3af9-d6e54aec223c"
},
"source": [
"# FourSquare Check-Ins EDA\n",
"In this notebook, I investigate the spatial and temporal aspects of the data provided."
]
},
{
"cell_type": "code",
"executio... | 0001/137/1137537.ipynb | s3://data-agents/kaggle-outputs/sharded/014_00001.jsonl.gz |
{
"cells": [
{
"cell_type": "markdown",
"metadata": {
"_cell_guid": "7d6d7a04-8226-d4ad-bb8d-df1e147f07c2"
},
"source": [
"# Introduction\n",
"\n",
"When people think about \"Famous quotes\", they often associate a certain degree of complexity to the language. \n",
"\n",
"\"Unique... | 0001/137/1137539.ipynb | s3://data-agents/kaggle-outputs/sharded/014_00001.jsonl.gz |
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"_cell_guid": "692b7057-5285-45cc-342e-288c5aaae7ae"
},
"outputs": [],
"source": [
"%matplotlib inline"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"_cell_guid": "4d82bc68-360a-78... | 0001/137/1137548.ipynb | s3://data-agents/kaggle-outputs/sharded/014_00001.jsonl.gz |
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"_cell_guid": "4846c062-7350-566d-0693-181f5c6925d1"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"test.csv\n",
"train.csv\n",
"\n"
]
}
],
"source":... | 0001/137/1137616.ipynb | s3://data-agents/kaggle-outputs/sharded/014_00001.jsonl.gz |
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"_cell_guid": "967dd582-8569-237a-fc0e-ea8a102a5797"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"genderclassmodel.csv\n",
"gendermodel.csv\n",
"gendermodel.py\n"... | 0001/137/1137618.ipynb | s3://data-agents/kaggle-outputs/sharded/014_00001.jsonl.gz |
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