Using Supervised ML Classifiers to Identify Fake Job Postings
Dataset: https://www.kaggle.com/shivamb/real-or-fake-fake-jobposting-prediction/kernels
In this project I train and evaluate several supervised learning classifier models to predict false job postings in a dataset of ~18k postings. The results of my experiments and performance metrics are are captured in the ppt presentation.
Installation
Source code can be downloaded in either html or ipynb format Notebook includes lines to output classifier model results to csv