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You're reading from  Developing Kaggle Notebooks

Product typeBook
Published inDec 2023
Reading LevelIntermediate
PublisherPackt
ISBN-139781805128519
Edition1st Edition
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Author (1)
Gabriel Preda
Gabriel Preda
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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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Pubs and Starbucks in London

Until now our analysis was focused on individual datasets Every Pub in England and Starbucks Locations Worldwide. To support some of the data analysis tasks related to these two separate datasets, we also added two more datasets, one with geographical position of postal codes, to replace missing latitude and longitude data and one shapefile data for United Kingdom, used to clip the Voronoi polygons generated from pubs position, to align them to the land contour of the islands.In the following we will combine the information from the two main data sources analysed separately and will apply methods developed during this preliminary analysis to support the objective of our study. This will focus on a smaller region, where we have both a high density of pubs and also a concentration of Starbucks coffee shops, London. We already can hypothesize that the geospatial concentration of Starbucks is smaller than the concentration of pubs. We would like to see what the...

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Developing Kaggle Notebooks
Published in: Dec 2023Publisher: PacktISBN-13: 9781805128519

Author (1)

author image
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.
Read more about Gabriel Preda