THE KAGGLE WORKBOOK self-learning exercises and valuable insights for Kaggle data science competitions /
Move up the Kaggle leaderboards and supercharge your data science and machine learning career by analyzing famous competitions and working through exercises. Purchase of the print or Kindle book includes a free eBook in PDF format. Key Features Challenge yourself to start thinking like a Kaggle Gran...
Call Number: | Libro Electrónico |
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Main Authors: | , |
Format: | Electronic eBook |
Language: | Inglés |
Published: |
Birmingham, UK :
Packt Publishing Ltd.,
[2023]
|
Subjects: | |
Online Access: | Texto completo (Requiere registro previo con correo institucional) |
Table of Contents:
- Cover
- Copyright
- Table of Contents
- Preface
- Chapter 1: The Most Renowned Tabular Competition
- Porto Seguro's Safe Driver Prediction
- Understanding the competition and the data
- Understanding the evaluation metric
- Examining the top solution ideas from Michael Jahrer
- Building a LightGBM submission
- Setting up a denoising autoencoder and a DNN
- Ensembling the results
- Summary
- Chapter 2: The Makridakis Competitions
- M5 on Kaggle for Accuracy and Uncertainty
- Understanding the competition and the data
- Understanding the Evaluation Metric
- Examining the 4th place solution's ideas from Monsaraida
- Computing predictions for specific dates and time horizons
- Assembling public and private predictions
- Summary
- Chapter 3: Vision Competition: Cassava Leaf Disease Competition
- Understanding the data and metrics
- Building a baseline model
- Learning from top solutions
- Pretraining
- Test time augmentation
- Transformers
- Ensembling
- A complete solution
- Summary
- Chapter 4: NLP Competition
- Google Quest Q&A Labeling
- The baseline solution
- Learning from top solutions
- Summary
- Packt page
- Other Books You May Enjoy
- Index