CatIss is an intelligent tool for automatic categorization of issue reports based on the RoBERTa model.
The final project of the Data Mining course involves classifying Persian songs on Spotify as either traditional or non-traditional, based on factors such as their popularity, artist name, and song title
Film genre and named entity detection in Persian movie descriptions using NLP techniques, including traditional ML, transformers, and BERT-based models.
Mask Detection Using CNNs
ExLibris is a Python library that provides statistical comparisons between different binary classification models. This library is specifically designed to compare the GSGP classifier with other models.
Machine learning models for spam email and credit card fraud detection, featuring data preprocessing, feature engineering, and classification techniques.
A Machine Learning model to classify wether a website is phishing website or not using Python.
Machine Learning With Python - IBM Data Science
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