Moozonian

πŸ’» Developer Nexus: pickle all

GitHub

Komal01/phishing-URL-detection

Phishing website detection system provides strong security mechanism to detect and prevent phishing domains from reaching user. This project presents a simple and portable approach to detect spoofed webpages and solve security vulnerabilities using Machine Learning. It can be easily operated by anyone since all the major tasks are happening in the backend. The user is required to provide URL as input to the GUI and click on submit button. The output is shown as β€œYES” for phishing URL and β€œNO” for not phished URL. PYTHON DEPENDENCIES: β€’ NumPy, Pandas, Scikit-learn: For Data cleaning, Data analysis and Data modelling. β€’ Pickle: For exporting the model to local machine β€’ Tkinter, Pyqt, QtDesigner: For building up the Graphical User Interface (GUI) of the software. To avoid the pain of installing independent packages and libraries of python, install Anaconda from www.anaconda.com. It is a Python data science platform which has all the ML libraries, Data analysis libraries, Jupyter Notebooks, Spyder etc. built in it which makes it easy to use and efficient. Steps to be followed for running the code of the software: β€’ Install anaconda in the system. β€’ gui.py : It contains the code for the GUI and is linked to other modules of the software. β€’ Feature_extractor.py: It contains the code of Data analysis and data modelling. β€’ Rf_model.py: It contains the trained machine learning model. β€’ Only gui.py is to be run to execute the whole software.

⭐ 43 | 🍴 22
GitHub

IgorWarzocha/Pickle-Thinker

An Opencode plugin that makes GLM & Big Pickle ultrathink at all times

⭐ 34 | 🍴 0
GitHub

MB13534/poshmark

This was the first project I ever created. In order to help my girlfriend, who resells clothes online, I wrote several scripts using Python, Selenium, and JS. The first goes through her hundreds of Poskmark listings and compiles all the details into an excel document. From there, I automate the process of relisting all her items to Mercari and Facebook. I also wrote a script that follows thousands of Poshmark users to give her account more exposure. The final script reshares her listings and runs almost 24 hours a day. My efforts have significantly increased her sales, saves her hundreds of tedious hours, and really elevated my excitement for development.

⭐ 17 | 🍴 2
GitHub

michael-mri/serialized-redis

Redis connection that serializes all values using json, pickle, msgpack or a custom serializer.

⭐ 12 | 🍴 2