You're reading from Developing Kaggle Notebooks

Product typeBook

Published inDec 2023

Reading LevelIntermediate

PublisherPackt

ISBN-139781805128519

Edition1st Edition

Languages

Python

Concepts

Data Analysis

Author (1)

Gabriel Preda

All data tells a story

Approaching a new dataset resembles sometime to an archeological excavation and sometime to a police investigation. We proceed to unearth hidden valorous insights from under a pile of data or we try to uncover elusive evidence by a systematic, sometime arride process, that resemble either the technical discipline of the archeologist or the method of the detective. All data can tell a story. It is the analyst choice if this story is told in the style of a scientific report or in the vivid, attractive form of a detective novel. In this chapter, we will combine techniques we developed in previous chapters for analysis of tabular- numerical and categorical, text and geospatial data and combining data from multiple sources and show how to tell a story with data.

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Developing Kaggle Notebooks

Published in: Dec 2023Publisher: PacktISBN-13: 9781805128519

Author (1)

Gabriel Preda

Dr. Gabriel Preda is a Principal Data Scientist for Endava, a major software services company. He has worked on projects in various industries, including financial services, banking, portfolio management, telecom, and healthcare, developing machine learning solutions for various business problems, including risk prediction, churn analysis, anomaly detection, task recommendations, and document information extraction. In addition, he is very active in competitive machine learning, currently holding the title of a three-time Kaggle Grandmaster and is well-known for his Kaggle Notebooks.
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All data tells a story

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