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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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References

  1. LANL Earthquake Prediction, Can you predict upcoming laboratory earthquakes?, Kaggle Competition: https://www.kaggle.com/competitions/LANL-Earthquake-Prediction
  2. Gabriel Preda, LANL Earthquake EDA and Prediction: https://www.kaggle.com/code/gpreda/lanl-earthquake-eda-and-prediction
  3. LANL Earthquake Prediction, dataset description: https://www.kaggle.com/competitions/LANL-Earthquake-Prediction/data
  4. BirdCLEF 2021 - Birdcall Identification, identify bird calls in soundscape recordings, Kaggle competition: https://www.kaggle.com/competitions/birdclef-2021
  5. McFee, Brian, Colin Raffel, Dawen Liang, Daniel PW Ellis, Matt McVicar, Eric Battenberg, and Oriol Nieto. “librosa: Audio and music signal analysis in Python.” In Proceedings of the 14th Python in Science Conference, pp. 18-25. 2015
  6. librosa load function: https://librosa.org/doc/main/generated/librosa.load.html
  7. Cornell Birdcall Identification, Kaggle competition: https...
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Developing Kaggle Notebooks
Published in: Dec 2023Publisher: PacktISBN-13: 9781805128519
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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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