It's a balanced dataset consisting of 45,373 instances, equally representing both benign and phishing web pages. Each instance encompasses a variety of HTML document elements such as texts, …

This dataset, specifically curated from Liputan6 — a prominent Indonesian news website — offers a rich collection of text summarization pairs that are pivotal for training models in the Indonesian language …

The project utilizes the MINDS-14 dataset, a comprehensive collection of spoken language samples. The dataset features a variety of languages, accents, and dialects, making it an ideal choice for …

The dataset comprises 1,815 entries, each representing a tweet related to the 2019 Presidential Election in Indonesia.

Advanced phishing detection project employing deep learning techniques on the 'look-before-you-leap' dataset, aiming at accurate identification of phishing threats through comprehensive URL and HTML …

Advanced phishing detection project employing deep learning techniques on the 'look-before-you-leap' dataset, aiming at accurate identification of phishing threats through comprehensive URL and HTML …

Advanced speech recognition project utilizing the Whisper model on the MINDS-14 dataset, focusing on accurate transcription across diverse languages and accents.

Advanced phishing detection project employing deep learning techniques on the 'look-before-you-leap' dataset, aiming at accurate identification of phishing threats through comprehensive URL and HTML …

The system is trained on a dataset of SMS texts to distinguish between spam and legitimate messages. It is deployed using Gradio, which provides an interactive web interface.

The system is trained on a dataset of SMS texts to distinguish between spam and legitimate messages. It is deployed using Gradio, which provides an interactive web interface.