This repository contains the collection of UCI (real-life) datasets and Synthetic (artificial) datasets (with cluster labels and MATLAB files) ready to use with clustering algorithms.
-
Updated
Dec 9, 2022
This repository contains the collection of UCI (real-life) datasets and Synthetic (artificial) datasets (with cluster labels and MATLAB files) ready to use with clustering algorithms.
A description of "RealMAN: A Real-Recorded and Annotated Microphone Array Dataset for Dynamic Speech Enhancement and Localization" [NeurIPS 2024]
Vertex Ordering to List Triangles: a fast C++ tool for triangle counting or listing in big graphs. See associated paper: https://arxiv.org/abs/2203.04774
This repository contains three coding challenges designed for the "Bridging AI and Society" summer school program.
Data analysis and visualization in R using real-world datasets (Video Game Sales, Seoul Bike Sharing, Call Quality).
A comprehensive repository of real-world datasets across various domains including Sales, Finance, Healthcare, Marketing, HR, and E-commerce. Each dataset includes example analysis, insights, and beginner-friendly use cases for analytics and ML projects
This project successfully demonstrates the application of Recurrent Neural Networks (Simple RNN, LSTM, and GRU) for predicting stock prices using historical data from multiple technology companies.
Add a description, image, and links to the real-world-datasets topic page so that developers can more easily learn about it.
To associate your repository with the real-world-datasets topic, visit your repo's landing page and select "manage topics."