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

Index

aggregated functions

features derived, calculating from 248-252

Audio Video Interleave (AVI) 267

baseline model

building 64-66, 223-227, 257-262

Basic Linear Algebra Subprograms (BLAS) 246, 247

bee subspecies, classification 174

baseline model, building 177-182

data augmentation 176, 177

data, splitting 175, 176

model, refining iteratively 182-186

bee subspecies, data exploration 154

data, grouping in single dataset by locations 159-161

date and time 162-164

image data, exploring 156-159

images, with bees carrying pollen and not carrying pollen 172

quality checks 154, 155

subspecies 164-169

Black, Indigenous, and People of Color (BIPOC) 13

borrower demographic 125-128

CascadeObjectDetector class 271

Central Processing Unit (CPU) 24

classic Short-Term Average/Long-Term Average (STA/LTA) 244-246

code generation

with Kaggle Models 311, 312

comma-delimited format...

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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.
Read more about Gabriel Preda

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