The model-training repository contains all the code required to train and test a phishing URL detection machine learning model. It includes scripts for data preprocessing, model training, evaluation, and performance testing to ensure robust and accurate model development.
Create a git tag in your respective repositories to mark the state that should be reviewed. Keep it simple, using
tags like a1 , a2 , ... is clear enough.
In your operation repository, create a brief document with all required information about your project. Most
importantly, the document must start with a short section that includes repository links to all relevant material.
Link to ✮tags instead of ✮commits (compare the two links!) to create stable links.
Please mention for an assignment which tasks can be reviewed, esp. if a subtask is not done or incomplete. An
assessor should not spend time trying to find something that does not exist.