Therefore, for analysing small-scale datasets it is recommended to use manual coding (Lichtman, 2012; Saldaña, 2013). Since this “qualitative research does not deal with large datasets”, it does not involve a lot of time for analysis (Basit, 2003); as a result, manual coding has been...
101 Free Online Journal and Research Databases for Academics About This Resource This resource was designed to help students, academics, and researchers access the information they need without having to subscribe to an expensive service. The directories, databases, and repositories in this list...
Graph Analytics for Big Data Big Data – Capstone Project Upon completing this specialization, learners are able to ask the right questions about data, do basic exploration of large, complex datasets and perform predictive modeling and leverage graph analytics to model problems. They also learn to ...
Start from 60+ datasets and templates to create insightful analyses with DataCamp’s AI-enabled data notebook. Learn More Don't just take our word for it. Are you an educator? DataCamp for Classrooms isalways freefor you and your students. ...
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In comparison to the VPFRS model attribute approximation algorithm, the IDB-BRS model attribute approximation algorithm does not necessitate pre-given parameters and achieves superior classification accuracy and approximation time in the Soybean, Credit, and Balance datasets, thereby offering greater ...
This third ebook in the “Microsoft Azure Essentials” series introduces Microsoft Azure Machine Learning, a service that a developer can use to build predictive analytics models (using training datasets from a variety of data sources) and then easily deploy those models for consumption as cloud web...
(b) reflect on the service activity in such a way as to gain an enhanced sense of responsibility. These experiences represent significant ways to meet and experience real-world contexts for students. The COVID-19 pandemic required Higher Education Institutions to rethink and shift in-presence ...
Data Analytics in Business: This course helps you to understand data and business analytics. It then gives you the opportunity to apply these business analytics algorithms and methodologies to real-world business datasets. Innovation Leadership: A six-week course for anyone looking to become an in...
In my data journalism teaching and training I often talk about common types of stories that can be found in datasets — so I thought I would take 100 pieces of data journalism and analyse them to see if it was possible to identify how often each of those story angles is used. ...