Classifying Fake Job Posting Using Machine Learning Algorithm
Welcome
Introduction
Preface
Data Description
Train and Test Split
Data Preprocessing & Feature Engineering
Data Cleaning
Feature Creation
Creating Features from the Description
Creating Features Through Investigation
Label Encoding Vs. One Hot Encoding
Summary
Feature Selection
Text Feature Selection
Automated Feature Selection Using Boruta Algorithm
Creating Pipeline
Making Machine Learning Prediction
Processing The Test Dataset
Random Forest
Tuning the Hyperparameters of the Random Forest Model
Random Forest Result: Training Dataset
Random Forest Result: Test Dataset
SVM
Tuning the Hyperparameters of SVM
SVM Result: Train Dataset
SVM Result: Test Dataset
Conclusion
Conclusion
repository
open issue
Index
