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BAGOFVECTORS is a project developed with the objective of predicting whether a job description is real or fake. The project utilizes machine learning techniques, specifically natural language processing (NLP), Spacy for text preprocessing, and classification algorithms such as Random Forest and Logistic Regression. The web application is built usin

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[Refernce link for Concept](https://www.youtube.com/watch?v=mVF0Lt5Sb84)

Real Job or Fake Job Prediction

A simple Streamlit WebApp, which can predict if a Job Description is Real or Fake.

Experimented with Machine Learning Classification Models such as Logistic Regression, Random Forest and Support Vector Machines.

About Dataset

This Dataset was taken from Kaggle.

It has 17880 rows and 18 columns.

Results

Got Higest Accuracy of 98%.

About

BAGOFVECTORS is a project developed with the objective of predicting whether a job description is real or fake. The project utilizes machine learning techniques, specifically natural language processing (NLP), Spacy for text preprocessing, and classification algorithms such as Random Forest and Logistic Regression. The web application is built usin

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