Paper Contents
Abstract
Everything is being online now it allows people to reduce their manual efforts all of the job postings are posted online now so it gives the company a wide range of area to gather the talented candidates and for the people who are searching they can also know the information most companies can directly post the job. All job postings which are posted are not true there are fraudulent job postings also. So, we try to classify the fraudulent posting from real. The aim is to predict machine learning based techniques for real or fake job prediction results in best accuracy. The analysis of dataset is done by supervised machine learning technique (SMLT) to capture several informations like, variable identification, uni-variate analysis, bi-variate and multi-variate analysis, missing value treatments and analyze the data validation, data cleaningpreparing and data visualization will be done on the entire given data set.
Copyright
Copyright © 2023 A. Mukil Chockalingam. This is an open access article distributed under the Creative Commons Attribution License.
