Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application
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Updated
Jun 18, 2025 - Python
Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application
oneAPI Data Analytics Library (oneDAL)
The easiest way to use Machine Learning. Mix and match underlying ML libraries and data set sources. Generate new datasets or modify existing ones with ease.
oneAPI Collective Communications Library (oneCCL)
Math Roadmap To Develop Expertise In GenAI
Empowering Rational Discourse and Decision-Making: The Idea Stock Exchange is a groundbreaking platform designed to revolutionize how we engage in political and societal debates. At its core, this project harnesses the power of collective intelligence, utilizing a structured framework for automated conflict resolution and cost-benefit analysis.
AI-powered symptom checker with triage recommendations and symptom pattern tracking — FastAPI backend using lightweight NLP and ML models. MVP-ready for health-tech innovation.
AI Simulation
aims to understand the characteristics, structure, and important components of the dataset and learning process by giving marked data to the model.
A cutting-edge AI-powered facial recognition attendance system that automates tracking in educational institutions and workplaces
This is my solutions to Datacamp projects.
Determine how well the "best" classification algorithm works on correctly identifying a dog's breed. If you are confused by the term image classifier look at it simply as a tool that has an input and an output. The Input is an image. The output determines what the image depicts. (for example, a dog).
An AI-powered content moderation system using Python and Hugging Face Transformers. Combines rule-based filtering and machine learning to detect and block toxic, profane, and politically sensitive content, built for developers and communities to create safer, positive online spaces.
This project analyzed documented UFO sightings by examining trends, identifying active states, categorizing sightings, and mapping patterns across the U.S. Predictive modeling then forecasted sightings by state and shape, offering valuable insights for researchers and enthusiasts alike.
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