real-world-datasets

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).

Practical Data Science & Machine Learning projects using Python, covering EDA, data preprocessing, ML, deep learning, and model deployment.

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.

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