In this article, we will train the machine learning classifier on Employment Scam Aegean Dataset (EMSCAD) to identify the fake job advertisements. First, we will visualize the insights from the fake and real job advertisement and then we will use the Support Vector Classifier in this task which will predict the real and fraudulent class labels for the job advertisements after successful training. Finally, we will evaluate the performance of our classifier using several evaluation metrics. 

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