This paper proposes a novel model for web crawling suitable for large-scale web data acquisition. This model first divides web data into several sub-data, with each sub-data corresponding to a thread task. In each thread task, web crawling tasks are...
The Facebook application is used as a resource for collecting the comments of this dataset, The dataset consists of 6756 comments to create a Medical Kurdish Dataset (MKD). The samples are comments of users, which are gathered from different posts of...
A collection of coding scripts, notes, and mini-projects covering Data Science, Data Engineering, Web Development, programming fundamentals, and various tech topics. (⭐ 14)
Despite groundbreaking success in image and text learning, deep learning has not achieved significant improvements against traditional machine learning (ML) when it comes to tabular data. This performance gap underscores the need for data-centric tre...
In this paper, we present a new large-scale dataset for hairstyle recommendation, CelebHair, based on the celebrity facial attributes dataset, CelebA. Our dataset inherited the majority of facial images along with some beauty-related facial attribute...
[Deprecated!] This is a data visualization project that converts historical data rankings into dynamic bar charts. (⭐ 4717)
In the last few years, we have witnessed an explosion of interest in Big Data in both academic and industry arenas. Big Data is about the capture, storage, analysis and visualization of huge volumes of data in both structured and unstructured forms g...
DNA is an attractive medium for digital data storage. When data is stored on DNA, errors occur, which makes error-correcting coding techniques critical for reliable DNA data storage. To reduce the errors, a common technique is to include constraints...
Azure Data Factory Pipeline - Multiple data files are sent to multiple SFTP destinations based on different configurations. (⭐ 0)
We live in a digital world that, in 2010, crossed the mark of one zettabyte data. This huge amount of data processed on computers extremely fast with optimized techniques allows one to find insights in new and emerging types of data and content and t...
Vast amounts of (open) data are increasingly used to make arguments about crisis topics such as climate change and global pandemics. Data visualizations are central to bringing these viewpoints to broader publics. However, visualizations often concea...
Peer-graded Assignment: As a data scientist working for an investment firm, you will extract the revenue data for Tesla and GameStop and build a dashboard to compare the price of the stock vs the revenue. (⭐ 16)
Accessing Data with MongoDB :: Learn how to persist data in MongoDB. (⭐ 145)
In case of mixed data types in a single column, the majority data type determines the data type of the column for query purposes. Minority data types are considered null values. query - 要執行的查詢作業 …
It is critical to accurately simulate data when employing Monte Carlo techniques and evaluating statistical methodology. Measurements are often correlated and high dimensional in this era of big data, such as data obtained in high-throughput biomedic...
Dec 11, 2025 · Data visualization uses charts, graphs and maps to present information clearly and simply. It turns complex data into visuals that are easy to understand. With large amounts of data in …
In this article, we develop a data assimilation procedure to predict the evolution of epidemics with data uncertainty, with application to the Covid-19 pandemic. We construct a vademecum of solutions by solving the SIR epidemic model for a set of dat...
In recent years, we have witnessed an explosive growth of data. Much of this data is video data generated by security cameras, smartphones, and dash cams. The timely analysis of such data is of great practical importance for many emerging application...
Artifacts in functional MRI (fMRI) data cause deviations from common distributional assumptions, introduce spatial and temporal outliers, and reduce the signal-to-noise ratio of the data -- all of which can have negative consequences for downstream s...
In case of mixed data types in a single column, the majority data type determines the data type of the column for query purposes. Minority data types are considered null values. query - 要執行的查詢作業 …