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Showing 4 open source projects for "collection"
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One Platform. Total IT Insight. Start with PRTG NowWhy settle for fragmented monitoring? PRTG consolidates everything - servers, VMs, network devices, cloud services, and more, into one powerful platform. Get real-time status, customizable alerts, and deep analytics to drive smarter decisions. Designed for complex environments, PRTG scales with your needs, supports team collaboration, and helps you prevent outages before they impact users. Take control of your IT landscape and deliver the uptime your business requires.
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Turn speech into text using Google AINew customers get $300 in free credits to spend on Speech-to-Text. All customers get 60 minutes for transcribing and analyzing audio free per month, not charged against your credits.
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pointblank
Data quality assessment and metadata reporting for data frames
With the pointblank package it’s really easy to methodically validate your data whether in the form of data frames or as database tables. On top of the validation toolset, the package gives you the means to provide and keep up-to-date with the information that defines your tables. For table validation, the agent object works with a large collection of simple (yet powerful!) validation functions. We can enable much more sophisticated validation checks by using custom expressions, segmenting... -
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vitae
R Markdown Résumés and CVs
vitae is an R package that streamlines resume and CV creation via R Markdown. It includes a collection of LaTeX and HTML templates along with helper functions to dynamically populate content from data sources such as ORCID or spreadsheets. -
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MHNs Data Science Examples
Collection of data science examples.
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4
Data Science Specialization
Course materials for the Data Science Specialization on Coursera
The Data Science Specialization Courses repository is a collection of materials that support the Johns Hopkins University Data Science Specialization on Coursera. It contains the source code and resources used throughout the specialization’s courses, covering a broad range of data science concepts and techniques. The repository is designed as a shared space for code examples, datasets, and instructional materials, helping learners follow along with lectures and assignments. It spans essential... -
Run applications fast and securely in a fully managed environmentRun frontend and backend services, batch jobs, deploy websites and applications, and queue processing workloads without the need to manage infrastructure.
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