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0.0 0.0 0.0 102.86 MB

R 0.86% Python 5.74% Shell 1.60% XSLT 0.09% Batchfile 0.57% Jupyter Notebook 17.60% Java 12.23% PHP 0.07% CSS 8.97% JavaScript 52.28%

broccolishack's Introduction

BroccoliShack

This project shows how to collect data from https://www.data.go.kr/(PublicDataPortal Korea), http://kostat.go.kr/portal/korea/index.action(Statistics Korea and other websites, and save into Hadoop cluster in order to analyze them to make a model that predicts monthly manpower-demand on Korean-pear farms located in Naju, Cheonan.

It also provides a webservice where a user can see each year's manpower predictions, and also upload recruit or apply notices.

Tools & Frameworks used:

  • DataCollecting : Selenium, Pandas, BeautifulSoup, urllib

  • DataProcessing : Pandas

  • DataManaging & Storing : Hadoop Cluster, Spark, Sqoop, Flume

  • RDBMS :Mysql, OracleDBMS

  • DataAnalysis : R(Multiple Regression), Keras(RNN LSTM)

  • WebService : SpringMVC , ApacheTomcat

  • OS : CentOS, Ubuntu

  • DevelopmentTool : Jupyter, Zeppelin, RStudio

  • CommunicationTool : Trello, Slack, Spring SVM

broccolishack's People

Contributors

terryaa avatar lure9724 avatar

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