scholarly journals Students Performance Prediction System Using Multi Agent Data Mining Technique

2014 ◽  
Vol 4 (5) ◽  
pp. 01-20 ◽  
Author(s):  
Abdullah AL-Malaise ◽  
Areej Malibari ◽  
Mona Alkhozae
Keyword(s):  
Data Mining ◽  
Performance Prediction ◽  
Prediction System ◽  
Data Mining Technique ◽  
Mining Technique ◽  
Multi Agent

A Modern Approach on Student Performance Prediction using Multi-Agent Data Mining Technique

2015 ◽  
Vol 10 (1) ◽  
pp. 14-20 ◽  
Author(s):  
L.Venkateswara Reddy ◽  
◽  
K. Yogitha ◽  
K. Bandhavi ◽  
G. Sai Vinay ◽  
...  
Keyword(s):  
Data Mining ◽  
Student Performance ◽  
Performance Prediction ◽  
Data Mining Technique ◽  
Modern Approach ◽  
Mining Technique ◽  
Multi Agent

Data Mining Technique for Prediction System of Heart Disease Using Associative Classifications

2021 ◽  
Author(s):  
Md. Sadeki Salman ◽  
Nazmun Naher Shila ◽  
Khalid Hasan ◽  
Piash Ahmed ◽  
Mumenunnessa Keya ◽  
...  
Keyword(s):  
Data Mining ◽  
Heart Disease ◽  
Prediction System ◽  
Data Mining Technique ◽  
Mining Technique

scholarly journals Salary Estimator using Data Science

2020 ◽  
Vol 6 (12) ◽  
pp. 319-322
Author(s):  
Winner Walecha and Dr. Bhoomi Gupta
Keyword(s):  
Data Mining ◽  
Random Forest ◽  
Data Science ◽  
The Internet ◽  
Prediction System ◽  
Lasso Regression ◽  
Data Mining Technique ◽  
Mining Technique ◽  
Number Of Factors ◽  
Using Data

This paper presents a salary prediction system using the job listings from an employment website, in this case Glassdoor.com. A data mining technique is used to generate a model which will scrape number of jobs from the employment website, clean it on the basis of number of factors including the rival companies, revenue and skill required thereby predicting the salary to be expected when applying for a data science job. Techniques like linear regression, lasso regression, random forest regressors are optimised using GridsearchCV to reach the best model. The model can be further extended to build a flask API thus can be deployed on the internet for public usage.

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