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The Kaggle Workbook

You're reading from   The Kaggle Workbook Self-learning exercises and valuable insights for Kaggle data science competitions

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Product type Paperback
Published in Feb 2023
Publisher Packt
ISBN-13 9781804611210
Length 172 pages
Edition 1st Edition
Languages
Tools
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Authors (2):
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Luca Massaron Luca Massaron
Author Profile Icon Luca Massaron
Luca Massaron
Konrad Banachewicz Konrad Banachewicz
Author Profile Icon Konrad Banachewicz
Konrad Banachewicz
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Toc

Index

Symbols

4th place solutions ideas

examining 48-51

A

accuracy 41, 50, 90, 100

Allstate Claim Prediction Challenge

reference link 5

auto-regressive (AR) 48

B

baseline model

building 92-99

baseline solution 111-136

building 124

C

classical tabular competition, in motor insurance modeling 2, 3

features 3

reference link 3

complex time series competition 42-45

D

data 89

dates and time horizons prediction

computing 52-79

denoising autoencoder (DAE) 17

setting up 17-35

using 8

DNN model

setting up 18-35

E

EfficientNet 94, 101-103

ensembling 35-38, 90, 101-102

evaluation metric 5-7, 45-47, 90-92

G

Gini coefficient 6

Google Quest Q&A Labeling contest

reference link 109

gradient boosting 72

Gradient-Based One-Side Sampling (GOSS) 72

Gradient Boosting Decision Tree (GBDT) 72

H

Hugging Face (HF) 111

I

Inverse Document Frequency...

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