Predictive Analytics: A study of its Advantages and Applications

Goel, Neha

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DC Field	Value	Language
dc.contributor.author	Goel, Neha	-
dc.date.accessioned	2024-09-04T09:46:11Z	-
dc.date.available	2024-09-04T09:46:11Z	-
dc.date.issued	2022	-
dc.identifier.uri	http://localhost:8080/xmlui/handle/123456789/300	-
dc.description	Predictive analysis facilitates to visualize the future and is reliable and accurate than previous tools. Predictive analysis modelling is an iterative process which applies on a dataset and then based on the requirement, modelling techniques have been applied. Predictive analytics make it possible for organizations’ in determining risk in prior, opportunities, tendencies and able to make strategies for appropriate measures and this can happen only when accurate predictions done through organized and unorganized information.	en_US
dc.description.abstract	e science of predictive analytics gives a line of future insight developed in the area of data analytics. rough predictive analytics, organizations or industries can identify the patterns within the data and make future forecasts on the basis of existing data and analytics techniques such as artificial intelligence, machine learning, paII. Why Predictive Analysis II. Why Predictive Analysis ttern recognition. Machine Learning works on the idea of identifying the best suitable model for the data.	en_US
dc.language.iso	en	en_US
dc.publisher	IARS' International Research Journal	en_US
dc.subject	Machine Learning	en_US
dc.subject	Dataset	en_US
dc.title	Predictive Analytics: A study of its Advantages and Applications	en_US
dc.type	Article	en_US
Appears in Collections:	VSIT

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