malicious url detection using machine learning python

In this tutorial, we will explore how to build a malicious URL detection system using machine learning in Python. Malicious URLs can pose a serious threat to cybersecurity, and machine learning models can be effective in automatically identifying them. We will use a popular machine learning library called scikit-learn for this tutorial.
Before we begin, make sure you have the following installed:
You can install the required packages using the following command:
The script will load the dataset, train the model, make predictions on the test set, and print the accuracy, confusion matrix, and classification report.
In this tutorial, we built a simple malicious URL detection system using machine learning in Python. Keep in mind that this is a basic example, and more sophisticated models and feature engineering may be required for real-world scenarios. Additionally, regularly updating the dataset and retraining the model is crucial for maintaining its effectiveness in detecting new threats.
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