Final project for CIS 600 - Data Mining at Syracuse University Spring 2020 Term.
Dataset: https://www.kaggle.com/shivamb/real-or-fake-fake-jobposting-prediction/kernels
This project involved training and evaluating several supervised learning models to predict false job postings in a dataset of ~18k postings. The results and performance metrics are are captured in the ppt presentation and pdf writeup in this repository.
Source code can be downloaded in either html or ipynb format Notebook includes code to output classifier model results to .csv format
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.