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...
| Otros Autores: | , |
|---|---|
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Birmingham, England :
Packt Publishing
[2023]
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| Edición: | First edition |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009764740106719 |
Tabla de Contenidos:
- 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.
