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EE0005 Machine Learning Project

Dataset

Fake Job Posting Prediction from https://www.kaggle.com/shivamb/real-or-fake-fake-jobposting-prediction

Objective

To train a classification machine learning that can distinguish whether a job posting is fraudulent.

Procedure

  1. Exploratory analysis
  2. Dataset cleaning
  3. Machine Learning

Result

Random forest model gives the best result in terms of accuracy and F1-score.

Accuracy on test set: ~ 0.98

F1-score on test set: ~ 0.85

Usage

It can be deployed on job searching platforms to tag and filter out fake job postings.

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A machine learning project for EE0005

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