Making predictions is something a business or system depends on, which is indirectly dependant on data analytics. Data analytics is the science of analyzing raw data in order to make conclusions about that information.This analysis can then be used to optimize processes to increase the overall efficiency of a business or system. The dataset here, that we have obtained from Kaggle, is a sample of the transactions made in a retail store on Black Friday. The store wants to know better the customer purchase behaviour against different products.
This is a template for CERN presentations following the official CERN design guidelines.
An unofficial template for thesis reports at the Faculty of Informatics, Masaryk University (Brno, Czech Republic). For more information about the class, see the internal GitLab repository at https://gitlab.fi.muni.cz/teaching-lab/fi-thesis-report
The journal «Bulletin KRAESC. Physical & Mathematical Sciences» publishes the results of basic and applied research in the area of physical and mathematical sciences (mathematical modeling, mathematical physics, information and computational technologies, educational materials) including extended abstracts of doctor or candidate of science dissertations. The journal may also publish flashes, reviews, newsletters, information on scientific events, congresses, conferences, workshops, seminars and so on.
The Journal was founded in August 2010, registered at the Federal Service for Compliance with the Law in Mass Communications and Protection of Cultural Heritage (Media Organization registration certificate FS 77-41501 from 04.08.2010), and re-registered (certificate FS 77-58548 from 14.07.2014).
The Journal founders are the Federal State Budget Research Institution «Vitus Bering Kamchatka State University», and the Federal State Budget Research Institution «Institute of Cosmophysical Research and Radio Wave Propagation Far Eastern Branch of the Russian Academy of Sciences».
The Journal is issued in print (ISSN: 2079-6641) and online (ISSN: 2079-665X) versions four times a year in Russian and it is also translated into English, beginning in 2014 (ISSN: 2313-0156).
The Journal is posted on the «Math.-Net.Ru»Russian Mathematical Portal and is indexed in Google Scholar, DOAJ, Ulrich’s Periodicals Directory, OCLC WorldCat, Bielefeld Academic Search Engine (BASE), Open Access Infrastructure for Research in Europe (OpenAIRE), DataCite, Directory of Research Journals Indexing, Kyberlenika, Soсionet.