This repository contains a Jupyter notebook that implements different algorithms for similarity checking. The primary focus is on comparing various models to determine the most effective for thesis similarity detection.
- Notebook: The core of this repository is a Jupyter notebook that showcases different algorithms for similarity checking.
- Algorithms:
- Logistic Regression
- Random Forest
- Naive Bayes
- Support Vector Machine (SVM)
- Goal: To find the most accurate and efficient model for thesis similarity detection.