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lab2.ipynb
12
lab2.ipynb
@ -24,7 +24,7 @@
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 14,
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"execution_count": 31,
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"metadata": {},
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"outputs": [
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{
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@ -36,17 +36,17 @@
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}
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],
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"source": [
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"import requests, zipfile, io\n",
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"import kaggle\n",
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"import os\n",
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"import numpy as np\n",
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"import pandas as pd\n",
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"from sklearn.preprocessing import MinMaxScaler\n",
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"from sklearn.model_selection import train_test_split\n",
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"\n",
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"def downloadCSV():\n",
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" url = 'https://storage.googleapis.com/kaggle-data-sets/1120859/1882037/bundle/archive.zip?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=gcp-kaggle-com%40kaggle-161607.iam.gserviceaccount.com%2F20210318%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20210318T160935Z&X-Goog-Expires=259199&X-Goog-SignedHeaders=host&X-Goog-Signature=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'\n",
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" r = requests.get(url)\n",
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" z = zipfile.ZipFile(io.BytesIO(r.content))\n",
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" z.extractall()\n",
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" kaggle.api.authenticate()\n",
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" kaggle.api.dataset_download_files('fedesoriano/stroke-prediction-dataset', path='.', unzip=True)\n",
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" data = pd.read_csv('healthcare-dataset-stroke-data.csv')\n",
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"\n",
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"def dropNaN():\n",
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" data = pd.read_csv('healthcare-dataset-stroke-data.csv')\n",
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