| npapernot/phishing-detection |
44 |
|
0 |
0 |
over 9 years ago |
0 |
|
1 |
mit |
Python |
| Train a simple decision tree classifier to detect websites used for phishing |
| diegoocampoh/MachineLearningPhishing |
32 |
|
0 |
0 |
over 2 years ago |
0 |
|
2 |
|
Python |
| This project will determine which of the five supervised classification machine learning algorithms performs best in detecting phishy emails |
| rishy/phishing-websites |
22 |
|
0 |
0 |
almost 11 years ago |
0 |
|
0 |
|
R |
| Identifies phishing websites using a treebag model |
| GregaVrbancic/Phishing-Dataset |
21 |
|
0 |
0 |
over 3 years ago |
0 |
|
0 |
|
Svelte |
| Phishing dataset with more than 88,000 instances and 111 features. Web application available at. https://gregavrbancic.github.io/Phishing-Dataset/ |
| lucasayres/url-feature-extractor |
18 |
|
0 |
0 |
over 6 years ago |
0 |
|
0 |
|
Python |
| 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. |
| ezkl/phishtank |
11 |
|
0 |
0 |
almost 14 years ago |
3 |
March 20, 2012 |
1 |
mit |
Ruby |
| Ruby interface to the OpenDNS PhishTank phishing dataset. |
| S-Abdelnabi/VisualPhishNet |
10 |
|
0 |
0 |
about 4 years ago |
0 |
|
2 |
|
Jupyter Notebook |
| sheatsley/datasets |
8 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
bsd-3-clause |
Python |
| Scripts for downloading, preprocessing, and numpy-ifying popular machine learning datasets |
