https://github.com/mohamedsebaie/java_repo_iti_ml_project

DataAnalysis for Wuzzuf DataSet by Java, SpringBoot, WebServices, and TestClient
https://github.com/mohamedsebaie/java_repo_iti_ml_project

autowired consumer java joinery rest-api restcontroller resttemplate smile springboot tablesaw testclient webservices

Last synced: about 1 month ago
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DataAnalysis for Wuzzuf DataSet by Java, SpringBoot, WebServices, and TestClient

• Host: GitHub
• URL: https://github.com/mohamedsebaie/java_repo_iti_ml_project
• Owner: MohamedSebaie
• Created: 2021-07-04T13:39:34.000Z (almost 5 years ago)
• Default Branch: main
• Last Pushed: 2021-07-06T20:04:00.000Z (almost 5 years ago)
• Last Synced: 2025-06-16T09:19:15.672Z (12 months ago)
• Topics: autowired, consumer, java, joinery, rest-api, restcontroller, resttemplate, smile, springboot, tablesaw, testclient, webservices
• Language: Java
• Homepage:
• Size: 2.28 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# JavaMachineLearningProjectITI

Machine Learning Project Java Programming Language (Webservices and  Tester Client ) 

# Team Members GR3 ITI:							  						                       

 				1-Abdullah Abdelhakeem.											                     

 				2-Mohamed Sebaie.													                       

 				3-Mostafa Ahmed.													                       	

# Date: 

        - 5 July 2021																                         

# Version: 

        - 0.0.1																	                             

# Project Details :																                       

 			1-Read data set and convert it to dataframe.							                  

 			2-Display structure and summary of the data.							                  

 			3-Clean the data (null, duplications).									                    

 			4-What are the most demanding companies for jobs?						                

 			5-Show step 4 in a pie chart.											                          

 			6-Find out What are it the most popular job titles? 					              

 			7-Show step 6 in bar chart .											                          

 			8-Find out the most popular areas?										                      

 			9-Show step 8 in bar chart .											                          

 			10- * Print skills one by one.											                        

 				  * how many each repeated .											                          

 				  * order the output to find out the most important skills required?.	      

 			11-Factorize the YearsExp feature and convert it to numbers in new col.     

 			12-Apply K-means for job title and companies.	 

 

 
Project run steps

Webservices(Server)



  
src/main/java

  
ProjectMain (Package)

  
run "JavaMlgr3Application"---> as Spring Boot (Server) 





 

TesterClient (Client)



  
src/main/java

  
Test (Package)

 
run "ConsumerTest" as ---> Java Application 
Choose Any WebServices as You Like (from 1------> 13)







 


 

 

# Main Package : 

      -Smile DataFrame 

      -TableSaw

      -JoinaryDataFrame     

     

Image Projects

Server



  




Client


  




Datframe



  




Structure and Summary



  




Data Cleaning



  




What are the most demanding companies for jobs?



  




Pie Chart for the most demanding companies for jobs



  




What are it the most popular job titles?



  




Bar Chart for the most popular job titles?



  




the most popular Areas



  




Bar Chart for the most popular Areas



  




 				

skills one by one - how many each repeated - order -The most important skills required?

     



  




Factorize the YearsExp feature and convert it to numbers in new col.



  




 K-means for job title and companies