In this task, we will train a machine learning model on a dataset containing website URLs labeled as phishing or legitimate. The model will be trained using the features extracted from the URLs. After training, the model will be serialized using pickle and saved as a .pkl file. This file will later be used for predicting whether a given URL is phishing or not. The training process involves loading the CSV dataset, feature extraction, model selection, and saving the trained model.
Muradhameed921
commented
3 days ago
In this task, we will train a machine learning model on a dataset containing website URLs labeled as phishing or legitimate. The model will be trained using the features extracted from the URLs. After training, the model will be serialized using pickle and saved as a .pkl file. This file will later be used for predicting whether a given URL is phishing or not. The training process involves loading the CSV dataset, feature extraction, model selection, and saving the trained model.