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awesome-public-datasets

A topic-centric list of HQ open datasets.

cloud189-action

天翼云盘自动签到 + 抽奖

credit-loans-of-data-analysis

基于互联网金融平台2015年度贷款数据完成信贷违约预测模型，该模型可以作为信贷平台预测违约借款人的参考

dataset_url_70000

dataset containing 70000 url between phishing and legitimate

deeplearning-models

A collection of various deep learning architectures, models, and tips

deeplearningmaliciousurls

Machine Learning Models to Detect and Classify Malicious URLs

features_extraction_process

This github repository contains the scripts used for transforming the raw data that consists of URLs, HTML & JS code

malicious-url-detection

Detecting malicious URLs using Machine Learning

malicious-url-detection-using-machine-learning

A Dataset for the task of Malicious URL Detection

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

python

Source code about Python Development

scikit-learn

scikit-learn: machine learning in Python

tianchi_project

天池大数据比赛总结

url-20000

url-classification

Machine learning to classify Malicious (Spam)/Benign URL's

url-feature-extractor

Extracting features from URLs to build a data set for machine learning. The purpose is to find a machine learning model to predict phishing URLs, which are targeted to the Brazilian population.

url-feature-extractor-1

Extract url features that can be used to indicate whether the given url is malicious or not.

url-features

Feature extraction for benign and malign urls

url-features-extraction

URL Features Extraction

urlcheck

Malicious Web Sites Detection using Suspicious URL

urlfeatureextractor

Extracts certain statistical features and n-grams from input URLs to build a data set for machine learning. The original purpose was to find a machine learning model to predict phishing URLs but the extracted data might be useful for other research purposes.

using-machine-learning-to-detect-malicious-urls

Machine Learning and Security | Using machine learning to detect malicious URLs