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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. Deepfake Detection Challenge, Kaggle competition, Identify videos with facial or voice manipulations: https://www.kaggle.com/competitions/deepfake-detection-challenge
  2. Haar Cascades for Face Detection, Kaggle dataset: https://www.kaggle.com/datasets/gpreda/haar-cascades-for-face-detection
  3. Serkan Peldek – Face Detection with OpenCV, Kaggle notebook: https://www.kaggle.com/code/serkanpeldek/face-detection-with-opencv/
  4. Kaipeng Zhang, Zhanpeng Zhang, Zhifeng Li, and Yu Qiao – Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks: https://arxiv.org/abs/1604.02878
  5. Justin Güse – Face Detection using MTCNN — a guide for face extraction with a focus on speed: https://towardsdatascience.com/face-detection-using-mtcnn-a-guide-for-face-extraction-with-a-focus-on-speed-c6d59f82d49

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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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