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Kaggle is a data science competition platform and online community for data scientists and machine learning practitioners under Google LLC.Kaggle enables users to find and publish datasets, explore and build models in a web-based data science environment, work with other data scientists and machine learning engineers, and enter competitions to solve data science challenges.
In computing, format is a command-line utility that carries out disk formatting. It is a component of various operating systems , including 86-DOS , MS-DOS , IBM PC DOS and OS/2 , Microsoft Windows and ReactOS .
A block, a contiguous number of bytes, is the minimum unit of storage that is read from and written to a disk by a disk driver.The earliest disk drives had fixed block sizes (e.g. the IBM 350 disk storage unit (of the late 1950s) block size was 100 six-bit characters) but starting with the 1301 [8] IBM marketed subsystems that featured variable block sizes: a particular track could have blocks ...
Provides classification and regression datasets in a standardized format that are accessible through a Python API. Metatext NLP: https://metatext.io/datasets web repository maintained by community, containing nearly 1000 benchmark datasets, and counting.
Rufus was originally designed [5] as a modern open source replacement for the HP USB Disk Storage Format Tool for Windows, [6] which was primarily used to create DOS bootable USB flash drives. The first official release of Rufus, version 1.0.3 (earlier versions were internal/alpha only [ 7 ] ), was released on December 4, 2011, with originally ...
Windows uses the cabinet format to archive its Component-Based Servicing (CBS) log, which is kept in the folder C:\Windows\Logs\CBS. A bug in the compression process can cause run-away generation of useless log files both in that folder and in C:\Windows\Temp , which can consume disk storage until completely filling the hard drive.
DVC is a free and open-source, platform-agnostic version system for data, machine learning models, and experiments. [1] It is designed to make ML models shareable, experiments reproducible, [2] and to track versions of models, data, and pipelines.
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