URL Classifier

Classification of URLs as Malicious or Benign

This Repo consists of the following notebooks:

Web Metrics Scrapper : Scrapes dataset for the project
Data and Features : Additional Feature generation and their explaination
TestDataPrep : Preparation of test dataset for model perforamnce evaluation
Model Fitting : Model Fitting on Training Data and performance evaluation on the test data

Libraires used:

pip install sklearn

pip install keras

There are the following models in this repo:

Name		Name	Last commit message	Last commit date
Latest commit History 21 Commits
.ipynb_checkpoints		.ipynb_checkpoints
Metrics		Metrics
__pycache__		__pycache__
Data and Features.ipynb		Data and Features.ipynb
Features.py		Features.py
Making Predictions.ipynb		Making Predictions.ipynb
Model Fitting.ipynb		Model Fitting.ipynb
README.md		README.md
TestDataPrep.ipynb		TestDataPrep.ipynb
Web Metrics Scrapper.ipynb		Web Metrics Scrapper.ipynb
data.csv		data.csv
featureset.csv		featureset.csv
testset.csv		testset.csv

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