Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
The Kaggle Workbook

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

Arrow left icon
Product type Paperback
Published in Feb 2023
Publisher Packt
ISBN-13 9781804611210
Length 172 pages
Edition 1st Edition
Languages
Tools
Arrow right icon
Authors (2):
Arrow left icon
Luca Massaron Luca Massaron
Author Profile Icon Luca Massaron
Luca Massaron
Konrad Banachewicz Konrad Banachewicz
Author Profile Icon Konrad Banachewicz
Konrad Banachewicz
Arrow right icon
View More author details
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...

lock icon The rest of the chapter is locked
arrow left Previous Section
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at ₹800/month. Cancel anytime