This project implements a password strength classifier using a logistic regression model and TF-IDF vectorization
This repository contains the code for a password strength classifier. The classifier is trained using a logistic regression model on a dataset of passwords with corresponding strength labels (0, 1, 2).
The TF-IDF vectorization technique is employed to convert password strings into numerical features for model training.
The dataset used in this project is stored in a CSV file (dataset.csv).
The file should have two columns: 'password' and 'strength'. Passwords are classified into three strength categories (0, 1, 2).