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You're reading from  Developing Kaggle Notebooks

Product typeBook
Published inDec 2023
Reading LevelIntermediate
PublisherPackt
ISBN-139781805128519
Edition1st Edition
Languages
Python
Concepts
Data Analysis
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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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The data

The competition requires the participants to identify or collect relevant data, besides the data provided by organizers. This includes loans information, Kiva global multidimensional poverty index (MPI) by region and location, loan theme and loan themes by region. The loans information include an unique id, loan theme id, loan theme type, local financial organization partner id, funded amount (how much Kiva provided to the local partner), loan amount (how much the local partner disbursed to the borrower), the activity of the borrower, sector, use of the loan, country code, country name, region, currency, posted time, disbursed time, funded time, duration in time for which the loan was disbursed, the total number of lenders that contributed to a loan, gender of borrowers, and repayment interval. Kiva MPI by region and location include region or country name, ISO-3 code for the country, region, world region, MPI value and the geolocation (latitude and longitude) of the current...

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Developing Kaggle Notebooks
Published in: Dec 2023Publisher: PacktISBN-13: 9781805128519
© 2023 Packt Publishing Limited All Rights Reserved

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

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