JOURNAL ARTICLE

Predictive analytics using machine learning in XLSTAT

Kumar, AtulAmol GawandeGeetikaParanjpye, Rashmi

Year: 2021 Journal:   Zenodo (CERN European Organization for Nuclear Research)   Publisher: European Organization for Nuclear Research

Abstract

Predictive analytics is one of division of advanced analytics usually utilized for predicting unacquainted forthcoming events. Techniques like data mining, modeling, artificial intelligence, statistics, and machine learning are utilized in predictive analytics for analyzing current data and predicting unacquainted forthcoming events. The paper is an attempt to understand how predictive analytics can be performed using Machine Learning in XLSTAT. Paper also covers two types of models used in predictive analytics. The paper briefly explains the application of different predictive models as well as the application of predictive analytics in various industries.

Keywords:
Predictive analytics Analytics Data analysis Predictive modelling Big data

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Refs
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Topics

Data Analysis with R
Physical Sciences →  Computer Science →  Artificial Intelligence
Data Visualization and Analytics
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Big Data Technologies and Applications
Social Sciences →  Decision Sciences →  Information Systems and Management

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