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added first homework
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{
"cells": [
{
"cell_type": "code",
added Jenkinsfile
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"execution_count": 28,
added first homework
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"id": "5e2107a5",
"metadata": {},
"outputs": [],
"source": [
"#Skrypt do ściagnięcia zbiory danych\n"
]
},
{
"cell_type": "code",
added Jenkinsfile
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"execution_count": 29,
added first homework
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"id": "bcc889e5",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
refactoring
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"Requirement already satisfied: kaggle in /home/students/s444463/.local/lib/python3.8/site-packages (1.5.12)\n",
added Jenkinsfile
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"Requirement already satisfied: tqdm in /home/students/s444463/.local/lib/python3.8/site-packages (from kaggle) (4.63.0)\n",
refactoring
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"Requirement already satisfied: urllib3 in /usr/lib/python3/dist-packages (from kaggle) (1.25.8)\n",
refactoring
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"Requirement already satisfied: six>=1.10 in /usr/lib/python3/dist-packages (from kaggle) (1.14.0)\n",
added Jenkinsfile
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"Requirement already satisfied: certifi in /usr/lib/python3/dist-packages (from kaggle) (2019.11.28)\n",
"Requirement already satisfied: requests in /usr/lib/python3/dist-packages (from kaggle) (2.22.0)\n",
"Requirement already satisfied: python-slugify in /home/students/s444463/.local/lib/python3.8/site-packages (from kaggle) (6.1.1)\n",
refactoring
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"Requirement already satisfied: python-dateutil in /usr/lib/python3/dist-packages (from kaggle) (2.7.3)\n",
"Requirement already satisfied: text-unidecode>=1.3 in /home/students/s444463/.local/lib/python3.8/site-packages (from python-slugify->kaggle) (1.3)\n",
refactoring
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"\u001b[33mWARNING: You are using pip version 21.2.4; however, version 22.0.4 is available.\n",
added first homework
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"You should consider upgrading via the '/usr/bin/python3 -m pip install --upgrade pip' command.\u001b[0m\n",
refactoring
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"Requirement already satisfied: pandas in /usr/lib/python3/dist-packages (0.25.3)\n",
"\u001b[33mWARNING: You are using pip version 21.2.4; however, version 22.0.4 is available.\n",
"You should consider upgrading via the '/usr/bin/python3 -m pip install --upgrade pip' command.\u001b[0m\n",
"Requirement already satisfied: numpy in /usr/lib/python3/dist-packages (1.17.4)\n",
"\u001b[33mWARNING: You are using pip version 21.2.4; however, version 22.0.4 is available.\n",
added first homework
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"You should consider upgrading via the '/usr/bin/python3 -m pip install --upgrade pip' command.\u001b[0m\n"
]
}
],
"source": [
"!pip install --user kaggle #API Kaggle, do pobrania zbioru\n",
changed Nan to empty strings
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"!pip install --user pandas\n",
"!pip install --user numpy"
added first homework
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]
},
{
"cell_type": "code",
added Jenkinsfile
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"execution_count": 30,
added first homework
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"id": "02a4034f",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
refactoring
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"/bin/bash: kaggle: command not found\r\n"
added first homework
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]
}
],
"source": [
"# Żeby poniższa komenda zadziałała, musisz posiadać plik ~/.kaggle/kaggle.json, zawierający Kaggle API token.\n",
"# Instrukcje: https://www.kaggle.com/docs/api\n",
"!kaggle datasets download -d shivamb/real-or-fake-fake-jobposting-prediction"
]
},
{
"cell_type": "code",
added Jenkinsfile
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"execution_count": 31,
added first homework
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"id": "5035aef0",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
refactoring
2022-03-21 10:02:31 +01:00
"unzip: cannot find or open real-or-fake-fake-jobposting-prediction.zip, real-or-fake-fake-jobposting-prediction.zip.zip or real-or-fake-fake-jobposting-prediction.zip.ZIP.\r\n"
added first homework
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]
}
],
"source": [
"!unzip -o real-or-fake-fake-jobposting-prediction.zip"
]
},
{
"cell_type": "code",
added Jenkinsfile
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"execution_count": 32,
added first homework
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"id": "14344d2f",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
refactoring
2022-03-21 10:06:54 +01:00
"Requirement already satisfied: seaborn in /home/students/s444463/.local/lib/python3.8/site-packages (0.11.2)\n",
refactoring
2022-03-21 10:02:31 +01:00
"Requirement already satisfied: numpy>=1.15 in /usr/lib/python3/dist-packages (from seaborn) (1.17.4)\n",
refactoring
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"Requirement already satisfied: scipy>=1.0 in /usr/lib/python3/dist-packages (from seaborn) (1.3.3)\n",
refactoring
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"Requirement already satisfied: matplotlib>=2.2 in /home/students/s444463/.local/lib/python3.8/site-packages (from seaborn) (3.4.3)\n",
added Jenkinsfile
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"Requirement already satisfied: pandas>=0.23 in /usr/lib/python3/dist-packages (from seaborn) (0.25.3)\n",
refactoring
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"Requirement already satisfied: pillow>=6.2.0 in /usr/local/lib/python3.8/dist-packages (from matplotlib>=2.2->seaborn) (8.3.2)\n",
"Requirement already satisfied: pyparsing>=2.2.1 in /usr/local/lib/python3.8/dist-packages (from matplotlib>=2.2->seaborn) (2.4.7)\n",
added Jenkinsfile
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"Requirement already satisfied: cycler>=0.10 in /home/students/s444463/.local/lib/python3.8/site-packages (from matplotlib>=2.2->seaborn) (0.10.0)\n",
refactoring
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"Requirement already satisfied: kiwisolver>=1.0.1 in /home/students/s444463/.local/lib/python3.8/site-packages (from matplotlib>=2.2->seaborn) (1.3.2)\n",
added Jenkinsfile
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"Requirement already satisfied: python-dateutil>=2.7 in /usr/lib/python3/dist-packages (from matplotlib>=2.2->seaborn) (2.7.3)\n",
refactoring
2022-03-21 10:02:31 +01:00
"Requirement already satisfied: six in /usr/lib/python3/dist-packages (from cycler>=0.10->matplotlib>=2.2->seaborn) (1.14.0)\n",
"\u001b[33mWARNING: You are using pip version 21.2.4; however, version 22.0.4 is available.\n",
added first homework
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"You should consider upgrading via the '/usr/bin/python3 -m pip install --upgrade pip' command.\u001b[0m\n"
]
}
],
"source": [
"!pip install --user seaborn"
]
},
{
"cell_type": "code",
added Jenkinsfile
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"execution_count": 33,
added first homework
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"id": "0f5ebfab",
"metadata": {},
"outputs": [
{
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"text/plain": [
" job_id title \\\n",
"0 1 Marketing Intern \n",
"1 2 Customer Service - Cloud Video Production \n",
"2 3 Commissioning Machinery Assistant (CMA) \n",
"3 4 Account Executive - Washington DC \n",
"4 5 Bill Review Manager \n",
"... ... ... \n",
"17875 17876 Account Director - Distribution \n",
"17876 17877 Payroll Accountant \n",
"17877 17878 Project Cost Control Staff Engineer - Cost Con... \n",
"17878 17879 Graphic Designer \n",
"17879 17880 Web Application Developers \n",
"\n",
" location department salary_range \\\n",
"0 US, NY, New York Marketing NaN \n",
"1 NZ, , Auckland Success NaN \n",
"2 US, IA, Wever NaN NaN \n",
"3 US, DC, Washington Sales NaN \n",
"4 US, FL, Fort Worth NaN NaN \n",
"... ... ... ... \n",
"17875 CA, ON, Toronto Sales NaN \n",
"17876 US, PA, Philadelphia Accounting NaN \n",
"17877 US, TX, Houston NaN NaN \n",
"17878 NG, LA, Lagos NaN NaN \n",
"17879 NZ, N, Wellington Engineering NaN \n",
"\n",
" company_profile \\\n",
"0 We're Food52, and we've created a groundbreaki... \n",
"1 90 Seconds, the worlds Cloud Video Production ... \n",
"2 Valor Services provides Workforce Solutions th... \n",
"3 Our passion for improving quality of life thro... \n",
"4 SpotSource Solutions LLC is a Global Human Cap... \n",
"... ... \n",
"17875 Vend is looking for some awesome new talent to... \n",
"17876 WebLinc is the e-commerce platform and service... \n",
"17877 We Provide Full Time Permanent Positions for m... \n",
"17878 NaN \n",
"17879 Vend is looking for some awesome new talent to... \n",
"\n",
" description \\\n",
"0 Food52, a fast-growing, James Beard Award-winn... \n",
"1 Organised - Focused - Vibrant - Awesome!Do you... \n",
"2 Our client, located in Houston, is actively se... \n",
"3 THE COMPANY: ESRI – Environmental Systems Rese... \n",
"4 JOB TITLE: Itemization Review ManagerLOCATION:... \n",
"... ... \n",
"17875 Just in case this is the first time you’ve vis... \n",
"17876 The Payroll Accountant will focus primarily on... \n",
"17877 Experienced Project Cost Control Staff Enginee... \n",
"17878 Nemsia Studios is looking for an experienced v... \n",
"17879 Who are we?Vend is an award winning web based ... \n",
"\n",
" requirements \\\n",
"0 Experience with content management systems a m... \n",
"1 What we expect from you:Your key responsibilit... \n",
"2 Implement pre-commissioning and commissioning ... \n",
"3 EDUCATION: Bachelor’s or Master’s in GIS, busi... \n",
"4 QUALIFICATIONS:RN license in the State of Texa... \n",
"... ... \n",
"17875 To ace this role you:Will eat comprehensive St... \n",
"17876 - B.A. or B.S. in Accounting- Desire to have f... \n",
"17877 At least 12 years professional experience.Abil... \n",
"17878 1. Must be fluent in the latest versions of Co... \n",
"17879 We want to hear from you if:You have an in-dep... \n",
"\n",
" benefits telecommuting \\\n",
"0 NaN 0 \n",
"1 What you will get from usThrough being part of... 0 \n",
"2 NaN 0 \n",
"3 Our culture is anything but corporate—we have ... 0 \n",
"4 Full Benefits Offered 0 \n",
"... ... ... \n",
"17875 What can you expect from us?We have an open cu... 0 \n",
"17876 Health &amp; WellnessMedical planPrescription ... 0 \n",
"17877 NaN 0 \n",
"17878 Competitive salary (compensation will be based... 0 \n",
"17879 NaN 0 \n",
"\n",
" has_company_logo has_questions employment_type required_experience \\\n",
"0 1 0 Other Internship \n",
"1 1 0 Full-time Not Applicable \n",
"2 1 0 NaN NaN \n",
"3 1 0 Full-time Mid-Senior level \n",
"4 1 1 Full-time Mid-Senior level \n",
"... ... ... ... ... \n",
"17875 1 1 Full-time Mid-Senior level \n",
"17876 1 1 Full-time Mid-Senior level \n",
"17877 0 0 Full-time NaN \n",
"17878 0 1 Contract Not Applicable \n",
"17879 1 1 Full-time Mid-Senior level \n",
"\n",
" required_education industry function \\\n",
"0 NaN NaN Marketing \n",
"1 NaN Marketing and Advertising Customer Service \n",
"2 NaN NaN NaN \n",
"3 Bachelor's Degree Computer Software Sales \n",
"4 Bachelor's Degree Hospital & Health Care Health Care Provider \n",
"... ... ... ... \n",
"17875 NaN Computer Software Sales \n",
"17876 Bachelor's Degree Internet Accounting/Auditing \n",
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"\n",
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},
added Jenkinsfile
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"execution_count": 33,
added first homework
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"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import pandas as pd\n",
"data=pd.read_csv('fake_job_postings.csv')\n",
"data\n"
]
},
{
"cell_type": "code",
added Jenkinsfile
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"execution_count": 34,
refactored
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"id": "edbf49da",
added first homework
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"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
refactored
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"17880 fake_job_postings.csv\r\n"
added first homework
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]
}
],
"source": [
"#Wielkosc zbioru\n",
refactored
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"!wc -l fake_job_postings.csv"
added first homework
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]
},
{
"cell_type": "code",
added Jenkinsfile
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"execution_count": 35,
refactoring
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"id": "e60b3f32",
added first homework
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"metadata": {},
"outputs": [
{
refactoring
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"data": {
"text/plain": [
"Sales 551\n",
"Engineering 487\n",
"Marketing 401\n",
"Operations 270\n",
"IT 225\n",
" ... \n",
"Capoo 1\n",
"Engineering - Hardware 1\n",
"Utilities 1\n",
"i 1\n",
"TECH 1\n",
"Name: department, Length: 1337, dtype: int64"
]
},
added Jenkinsfile
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"execution_count": 35,
refactoring
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"metadata": {},
"output_type": "execute_result"
added first homework
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}
],
"source": [
refactoring
2022-03-21 10:06:54 +01:00
"data[\"department\"].value_counts()"
added first homework
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]
},
{
"cell_type": "code",
added Jenkinsfile
2022-03-21 11:00:03 +01:00
"execution_count": 36,
"id": "ddb2fc38",
added first homework
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"metadata": {},
added Jenkinsfile
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"outputs": [
{
"data": {
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" <th>fraudulent</th>\n",
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" <td>17879</td>\n",
" <td>Graphic Designer</td>\n",
" <td>NG, LA, Lagos</td>\n",
" <td></td>\n",
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" <td></td>\n",
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" <tr>\n",
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" <td>Vend is looking for some awesome new talent to...</td>\n",
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" job_id title \\\n",
"0 1 Marketing Intern \n",
"1 2 Customer Service - Cloud Video Production \n",
"2 3 Commissioning Machinery Assistant (CMA) \n",
"3 4 Account Executive - Washington DC \n",
"4 5 Bill Review Manager \n",
"... ... ... \n",
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"17876 17877 Payroll Accountant \n",
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"17878 17879 Graphic Designer \n",
"17879 17880 Web Application Developers \n",
"\n",
" location department salary_range \\\n",
"0 US, NY, New York Marketing \n",
"1 NZ, , Auckland Success \n",
"2 US, IA, Wever \n",
"3 US, DC, Washington Sales \n",
"4 US, FL, Fort Worth \n",
"... ... ... ... \n",
"17875 CA, ON, Toronto Sales \n",
"17876 US, PA, Philadelphia Accounting \n",
"17877 US, TX, Houston \n",
"17878 NG, LA, Lagos \n",
"17879 NZ, N, Wellington Engineering \n",
"\n",
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"0 We're Food52, and we've created a groundbreaki... \n",
"1 90 Seconds, the worlds Cloud Video Production ... \n",
"2 Valor Services provides Workforce Solutions th... \n",
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"17877 We Provide Full Time Permanent Positions for m... \n",
"17878 \n",
"17879 Vend is looking for some awesome new talent to... \n",
"\n",
" description \\\n",
"0 Food52, a fast-growing, James Beard Award-winn... \n",
"1 Organised - Focused - Vibrant - Awesome!Do you... \n",
"2 Our client, located in Houston, is actively se... \n",
"3 THE COMPANY: ESRI – Environmental Systems Rese... \n",
"4 JOB TITLE: Itemization Review ManagerLOCATION:... \n",
"... ... \n",
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"17876 The Payroll Accountant will focus primarily on... \n",
"17877 Experienced Project Cost Control Staff Enginee... \n",
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"\n",
" requirements \\\n",
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"1 What we expect from you:Your key responsibilit... \n",
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"17878 1. Must be fluent in the latest versions of Co... \n",
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"\n",
" benefits telecommuting \\\n",
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"\n",
" has_company_logo has_questions employment_type required_experience \\\n",
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"... ... ... ... ... \n",
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"17879 1 1 Full-time Mid-Senior level \n",
"\n",
" required_education industry function \\\n",
"0 Marketing \n",
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"2 \n",
"3 Bachelor's Degree Computer Software Sales \n",
"4 Bachelor's Degree Hospital & Health Care Health Care Provider \n",
"... ... ... ... \n",
"17875 Computer Software Sales \n",
"17876 Bachelor's Degree Internet Accounting/Auditing \n",
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"17878 Professional Graphic Design Design \n",
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"\n",
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"... ... \n",
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"[17880 rows x 18 columns]"
]
},
"execution_count": 36,
"metadata": {},
"output_type": "execute_result"
}
],
added first homework
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"source": [
refactoring
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"import numpy as np\n",
"data = data.replace(np.nan, '', regex=True)\n",
"data"
added first homework
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]
},
{
"cell_type": "code",
added Jenkinsfile
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"execution_count": 37,
refactored
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"id": "c5ac75f5",
added first homework
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"metadata": {},
"outputs": [
{
"data": {
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added first homework
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added first homework
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added first homework
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changed Nan to empty strings
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added first homework
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added first homework
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changed Nan to empty strings
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added first homework
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" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>Full-time</td>\n",
changed Nan to empty strings
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" <td></td>\n",
" <td></td>\n",
" <td></td>\n",
" <td></td>\n",
added first homework
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" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>freq</th>\n",
" <td>NaN</td>\n",
" <td>311</td>\n",
" <td>718</td>\n",
changed Nan to empty strings
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" <td>11547</td>\n",
" <td>15012</td>\n",
" <td>3308</td>\n",
added first homework
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" <td>379</td>\n",
changed Nan to empty strings
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" <td>2695</td>\n",
" <td>7210</td>\n",
added first homework
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" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>11620</td>\n",
changed Nan to empty strings
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" <td>7050</td>\n",
" <td>8105</td>\n",
" <td>4903</td>\n",
" <td>6455</td>\n",
added first homework
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" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>mean</th>\n",
" <td>8940.500000</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>0.042897</td>\n",
" <td>0.795302</td>\n",
" <td>0.491723</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>0.048434</td>\n",
" </tr>\n",
" <tr>\n",
" <th>std</th>\n",
" <td>5161.655742</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>0.202631</td>\n",
" <td>0.403492</td>\n",
" <td>0.499945</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>0.214688</td>\n",
" </tr>\n",
" <tr>\n",
" <th>min</th>\n",
" <td>1.000000</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25%</th>\n",
" <td>4470.750000</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>0.000000</td>\n",
" <td>1.000000</td>\n",
" <td>0.000000</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>50%</th>\n",
" <td>8940.500000</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>0.000000</td>\n",
" <td>1.000000</td>\n",
" <td>0.000000</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>75%</th>\n",
" <td>13410.250000</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>0.000000</td>\n",
" <td>1.000000</td>\n",
" <td>1.000000</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>max</th>\n",
" <td>17880.000000</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>1.000000</td>\n",
" <td>1.000000</td>\n",
" <td>1.000000</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>1.000000</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" job_id title location department \\\n",
changed Nan to empty strings
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"count 17880.000000 17880 17880 17880 \n",
"unique NaN 11231 3106 1338 \n",
"top NaN English Teacher Abroad GB, LND, London \n",
"freq NaN 311 718 11547 \n",
added first homework
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"mean 8940.500000 NaN NaN NaN \n",
"std 5161.655742 NaN NaN NaN \n",
"min 1.000000 NaN NaN NaN \n",
"25% 4470.750000 NaN NaN NaN \n",
"50% 8940.500000 NaN NaN NaN \n",
"75% 13410.250000 NaN NaN NaN \n",
"max 17880.000000 NaN NaN NaN \n",
"\n",
changed Nan to empty strings
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" salary_range company_profile \\\n",
"count 17880 17880 \n",
"unique 875 1710 \n",
"top \n",
"freq 15012 3308 \n",
"mean NaN NaN \n",
"std NaN NaN \n",
"min NaN NaN \n",
"25% NaN NaN \n",
"50% NaN NaN \n",
"75% NaN NaN \n",
"max NaN NaN \n",
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"\n",
changed Nan to empty strings
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" description requirements \\\n",
"count 17880 17880 \n",
"unique 14802 11969 \n",
"top Play with kids, get paid for it Love travel? J... \n",
"freq 379 2695 \n",
"mean NaN NaN \n",
"std NaN NaN \n",
"min NaN NaN \n",
"25% NaN NaN \n",
"50% NaN NaN \n",
"75% NaN NaN \n",
"max NaN NaN \n",
added first homework
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"\n",
changed Nan to empty strings
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" benefits telecommuting has_company_logo has_questions \\\n",
"count 17880 17880.000000 17880.000000 17880.000000 \n",
"unique 6206 NaN NaN NaN \n",
"top NaN NaN NaN \n",
"freq 7210 NaN NaN NaN \n",
"mean NaN 0.042897 0.795302 0.491723 \n",
"std NaN 0.202631 0.403492 0.499945 \n",
"min NaN 0.000000 0.000000 0.000000 \n",
"25% NaN 0.000000 1.000000 0.000000 \n",
"50% NaN 0.000000 1.000000 0.000000 \n",
"75% NaN 0.000000 1.000000 1.000000 \n",
"max NaN 1.000000 1.000000 1.000000 \n",
added first homework
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"\n",
changed Nan to empty strings
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" employment_type required_experience required_education industry \\\n",
"count 17880 17880 17880 17880 \n",
"unique 6 8 14 132 \n",
"top Full-time \n",
"freq 11620 7050 8105 4903 \n",
"mean NaN NaN NaN NaN \n",
"std NaN NaN NaN NaN \n",
"min NaN NaN NaN NaN \n",
"25% NaN NaN NaN NaN \n",
"50% NaN NaN NaN NaN \n",
"75% NaN NaN NaN NaN \n",
"max NaN NaN NaN NaN \n",
added first homework
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"\n",
changed Nan to empty strings
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" function fraudulent \n",
"count 17880 17880.000000 \n",
"unique 38 NaN \n",
"top NaN \n",
"freq 6455 NaN \n",
"mean NaN 0.048434 \n",
"std NaN 0.214688 \n",
"min NaN 0.000000 \n",
"25% NaN 0.000000 \n",
"50% NaN 0.000000 \n",
"75% NaN 0.000000 \n",
"max NaN 1.000000 "
added first homework
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]
},
added Jenkinsfile
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"execution_count": 37,
added first homework
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"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data.describe(include='all')"
]
},
{
"cell_type": "code",
added Jenkinsfile
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"execution_count": 38,
refactored
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"id": "4b0e77a4",
added first homework
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"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"job_id 8940.5\n",
"telecommuting 0.0\n",
"has_company_logo 1.0\n",
"has_questions 0.0\n",
"fraudulent 0.0\n",
"dtype: float64"
]
},
added Jenkinsfile
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"execution_count": 38,
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"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data.median()"
]
},
{
"cell_type": "code",
added Jenkinsfile
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"execution_count": 39,
refactored
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"id": "5a1d8ec7",
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"metadata": {},
refactoring
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"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Defaulting to user installation because normal site-packages is not writeable\n",
added Jenkinsfile
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"Requirement already satisfied: scikit-learn in /home/students/s444463/.local/lib/python3.8/site-packages (1.0.2)\n",
refactoring
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"Requirement already satisfied: numpy>=1.14.6 in /usr/lib/python3/dist-packages (from scikit-learn) (1.17.4)\n",
added Jenkinsfile
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"Requirement already satisfied: threadpoolctl>=2.0.0 in /home/students/s444463/.local/lib/python3.8/site-packages (from scikit-learn) (3.1.0)\n",
refactoring
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"Requirement already satisfied: joblib>=0.11 in /usr/lib/python3/dist-packages (from scikit-learn) (0.14.0)\n",
added Jenkinsfile
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"Requirement already satisfied: scipy>=1.1.0 in /usr/lib/python3/dist-packages (from scikit-learn) (1.3.3)\n",
refactoring
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"\u001b[33mWARNING: You are using pip version 21.2.4; however, version 22.0.4 is available.\n",
"You should consider upgrading via the '/usr/bin/python3 -m pip install --upgrade pip' command.\u001b[0m\n",
"Note: you may need to restart the kernel to use updated packages.\n"
]
}
],
added first homework
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"source": [
"pip install -U scikit-learn"
]
},
{
"cell_type": "code",
added Jenkinsfile
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"execution_count": 40,
refactored
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"id": "50813795",
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"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
refactoring
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"English Teacher Abroad 230\n",
"Customer Service Associate 106\n",
"Graduates: English Teacher Abroad (Conversational) 96\n",
"English Teacher Abroad 71\n",
"Software Engineer 67\n",
" ... \n",
refactoring
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"Jr. Flash & HTML Developer 1\n",
" RNs Needed ASAP - ER & ICU - APPLY NOW!! 1\n",
"Summer interns - 2014/15 1\n",
"Full-Stack Engineer 1\n",
"Contract Product Designer 1\n",
refactoring
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"Name: title, Length: 8461, dtype: int64"
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]
},
added Jenkinsfile
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"execution_count": 40,
added first homework
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"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from sklearn.model_selection import train_test_split\n",
"import sklearn\n",
refactoring
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"data_train, data_test = train_test_split(data, test_size=5000, random_state=1)\n",
"data_dev, data_test = train_test_split(data_test, test_size=2500, random_state=1)\n",
added first homework
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"data_train[\"title\"].value_counts()"
]
},
{
"cell_type": "code",
added Jenkinsfile
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"execution_count": 41,
refactored
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"id": "ea3c9f2e",
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"metadata": {},
"outputs": [
{
refactoring
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"name": "stdout",
"output_type": "stream",
"text": [
"12880\n",
"2500\n",
"2500\n"
]
added first homework
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}
],
"source": [
refactoring
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"print(len(data_train))\n",
"print(len(data_dev))\n",
"print(len(data_test))"
added first homework
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]
},
{
"cell_type": "code",
added Jenkinsfile
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"execution_count": 42,
refactored
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"id": "b20cc27a",
added first homework
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"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
refactoring
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"English Teacher Abroad 230\n",
"Customer Service Associate 106\n",
"Graduates: English Teacher Abroad (Conversational) 96\n",
"English Teacher Abroad 71\n",
"Software Engineer 67\n",
" ... \n",
"Jr. Flash & HTML Developer 1\n",
" RNs Needed ASAP - ER & ICU - APPLY NOW!! 1\n",
"Summer interns - 2014/15 1\n",
"Full-Stack Engineer 1\n",
"Contract Product Designer 1\n",
"Name: title, Length: 8461, dtype: int64"
added first homework
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]
},
added Jenkinsfile
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"execution_count": 42,
added first homework
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"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data_train[\"title\"].value_counts()"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
refacctored
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"version": "3.8.10"
added first homework
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}
},
"nbformat": 4,
"nbformat_minor": 5
}
Reference in New Issue Copy Permalink