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Malicious URL detection

Detecting malicious URLs using Machine Learning.

The project aims to use ML to identify whether a URL is malicious or not.

Dataset

The dataset for this project is taken from kaggle. The dataset has two attributes, url and label. There are 4,20,000 rows.

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Detecting malicious URLs using Machine Learning

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  • Jupyter Notebook 82.8%
  • Python 17.2%