https://github.com/nrhartnett/passwordstrengthapp

This project combines machine learning with data science implemented in a python environment. Completed as my Master's degree practicum, it displays skills in data analytics as well as intermediate level python development using serializing and de-serializing a Python object structure (Pickle File).
https://github.com/nrhartnett/passwordstrengthapp

data-analysis-python data-science excel machine-learning-algorithms orange-data-mining pickle-file python python-filehandling

Last synced: about 2 months ago
JSON representation

This project combines machine learning with data science implemented in a python environment. Completed as my Master's degree practicum, it displays skills in data analytics as well as intermediate level python development using serializing and de-serializing a Python object structure (Pickle File).

• Host: GitHub
• URL: https://github.com/nrhartnett/passwordstrengthapp
• Owner: nrhartnett
• Created: 2023-10-09T17:55:14.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2023-10-09T18:10:09.000Z (over 1 year ago)
• Last Synced: 2024-01-29T04:39:13.323Z (12 months ago)
• Topics: data-analysis-python, data-science, excel, machine-learning-algorithms, orange-data-mining, pickle-file, python, python-filehandling
• Language: Python
• Homepage:
• Size: 15.3 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
# PasswordStrengthApp

This project combines machine learning with data science implemented in a Python environment. Completed as my Master of Science in Business Analytics degree Practicum, it displays skills in data analytics as well as intermediate level python development using serializing and de-serializing a Python object structure (Pickle File). The project functions as a locally hosted web application whereby you enter a potential password you would like to use for a profile and the application takes the password and returns a scoring of the password strength based on a machine learning algorithm trained on previously breached passwords from the famous "RockYou.txt" file. The pickle file contains a machine-learning model developed and fine-tuned within the Orange Data Miner. To obtain the data to train the model I also used Python file handling to manually extract data into a ".csv" Excel spreadsheet where I cleaned and quantified the data. A full breakdown of the project is included in the repository as a video "Practicum Presentation.mp4" and a PowerPoint "Presentation.pptx".