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1. Anomaly-detection-using-dbscan Anomaly-detection-using-dbscan Public

   Detects anomalies using the DBSCAN algorithm by identifying low-density noise points, with clear visualizations of original data, highlighted outliers, and isolated anomaly points.

   Jupyter Notebook 1

2. Fake-News-Detection-using-LSTM-and-BiLSTM Fake-News-Detection-using-LSTM-and-BiLSTM Public

   Compares LSTM and Bidirectional LSTM models for fake news detection, highlighting how bidirectional context improves text classification performance using deep learning.

   Jupyter Notebook 1

3. sms-spam-classification-transformer sms-spam-classification-transformer Public

   SMS spam classification using a Transformer-based model built with HuggingFace and PyTorch, demonstrating modern NLP techniques for contextual text classification and model evaluation using a confu…

   Jupyter Notebook 1

4. GPT-2 GPT-2 Public

   Fine-tunes the GPT-2 language model on Shakespearean text to generate stylistically consistent dialogue, demonstrating domain adaptation, loss and perplexity tracking, and transformer-based text ge…

   Jupyter Notebook