This repo is a notebook-based password strength classification project. It uses data.csv with password and strength, character-level TF-IDF, and compares Logistic Regression, AdaBoost, and XGBoost. XGBoost is the strongest recorded model at about 98.05% accuracy.
python data-science machine-learning scikit-learn jupyter-notebook cybersecurity xgboost password-strength tfidf unica password-classification
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Updated
Jul 11, 2026 - Jupyter Notebook