Authors:
José Augusto Câmara Filho
1
;
José Augusto Câmara Monteiro
1
;
César Lincoln Mattos
1
and
Juvêncio Santos Nobre
2
Affiliations:
1
Department of Computing, Federal University of Ceará, Fortaleza, Ceará, Brazil
;
2
Department of Statistics and Applied Mathematics, Federal University of Ceará, Fortaleza, Ceará, Brazil
Keyword(s):
Practical Guide, Prediction, Data Science.
Abstract:
Currently, professionals from the most diverse areas of knowledge need to explore their data repositories in order to extract knowledge and create new products or services. Several tools have been proposed in order to facilitate the tasks involved in the Data Science lifecycle. However, such tools require their users to have specific (and deep) knowledge in different areas of Computing and Statistics, making their use practically unfeasible for non-specialist professionals in data science. In this paper, we propose a guideline to support predictive tasks in data science. In addition to being useful for non-experts in Data Science, the proposed guideline can support data scientists, data engineers or programmers which are starting to deal with predictive tasks. Besides, we present a tool, called DSAdvisor, which follows the stages of the proposed guideline. DSAdvisor aims to encourage non-expert users to build machine learning models to solve predictive tasks, extracting knowledge fro
m their own data repositories. More specifically, DSAdvisor guides these professionals in predictive tasks involving regression and classification.
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