ttevhide

ttevhide's Stars

• dheerajpreddy/Twitter-Crawling

  Experimenting with Twitter crawlers

  Language:Python1

• JacobTheEvans/twitter-crawler

  Python twitter crawler bot made to make a map of users with less then 1000 friends and less than 1000 followers.

  Language:Python82

• ddmax/Twitter-Crawler

  Python Twitter API

  Language:Python1

• jonbakerfish/TweetScraper

  TweetScraper is a simple crawler/spider for Twitter Search without using API

  Language:Python1k313

• bianjiang/tweetf0rm

  A twitter crawler in Python

  Language:Python303106

• ashhadsheikh/TwitterFraud

  Detect Malicious URLs Using Twitter Streams

  Language:Java1

• stamparm/maltrail

  Malicious traffic detection system

  Language:Python6.7k1.1k

• heerme/twitter-topics

  Python code for detecting topics/events from a Twitter stream

  Language:Python10146

• jubins/MachineLearning-Detecting-Twitter-Bots

  Custom classification algorithm to sense the bots vs human on social media space like twitter

  Language:Jupyter Notebook12871

• RohanBhirangi/Twitter-Bot-Detection

  Machine Learning

  Language:Python3010

• lnyaki/BigDataProject3

  Automatic detection of fake twitter followers

  Language:Python2710

• hazimhanif/TwitTools

  When Twitter data meets python.......and R

  Language:Python8

• hhromic/python-twitter-toolbox

  Twitter Toolbox for Python.

  Language:Python311

• rshipp/awesome-malware-analysis

  Defund the Police.

  12.1k2.6k

• dpeng817/Twitter_Trolls

  Using LSTMs to analyze Tweets, correctly predict if tweets have malicious intent, and what factors exactly increase that likelihood

  Language:Jupyter Notebook1

• ajinkyapadwad/Phishing-Prevention-For-Twitter

  Malicious URL classification aimed at phishing prevention at Twitter using Machine Learning

  Language:Jupyter Notebook1

• brynnaconway/TwitterBotDetector

  A program that crawls through Twitter and identifies bots, identifying the bots as malicious or benign.

  Language:Python82

• e-valente/malware-collector

  The goal of this project is monitoring social networks to search malicious urls. The current version is working for Twitter: Based on trending topics tweets in a certain period of time, it searches for malicious urls inside of these tweets. The system parses urls efficiently and scalably. After parsing them, it verifies if they are linked with a malicious binary file (i.e., malware). If so, it inserts the malicious url in a database.

  Language:Python53

• upendra091/Detection-of-Malicious-Nodes-on-Twitter

  Language:Python1

• TheAlgorithms/Python

  All Algorithms implemented in Python

  Language:Python196k46k

• sapit/UofG_lab_machine_tips

  Tips, tricks and hacks for using the Comp Sci lab machines at University of Glasgow

  Language:Shell7

• arditsulceteaching/thepythonmegacourse

  Language:Jupyter Notebook17891

• lazyprogrammer/machine_learning_examples

  A collection of machine learning examples and tutorials.

  Language:Python8.4k6.4k

• sdrogers/fcmlcode

  Language:Jupyter Notebook132106

• oguzcam58/SearchAnagramWords

  Search anagram words from the given file. Think about large data sets. Write anagram words in one line and keep the insertion order of the given file, write anagram words in one line and sort them lexicographically.

  Language:Java1

• EbookFoundation/free-programming-books

  :books: Freely available programming books

  Language:HTML343k62.1k

• mustafamuratcoskun/Sifirdan-Ileri-Seviyeye-Python-Programlama

  Udemy üzerindeki Python kurslarında kullanılan materyaller

  Language:Jupyter Notebook2k781

• aneeshvartakavi/geneSynth

  Algorithmic Composition with Genetic Algorithms in Max-MSP

  Language:Java204

• emirarditi/KotlinForBeginners

  Language:Kotlin121

• andreasp1994/AdsExercises

  Language:Java1