The Kaggle Book Data Analysis and Machine Learning for Competitive Data Science
Get a step ahead of your competitors with insights from over 30 Kaggle Masters and Grandmasters. Discover tips, tricks, and best practices for competing effectively on Kaggle and becoming a better data scientist. Key Features Learn how Kaggle works and how to make the most of competitions from over...
| Otros Autores: | , , |
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Birmingham, England :
Packt Publishing
[2022]
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| Edición: | First edition |
| Colección: | Expert insight.
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| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009815715906719 |
Tabla de Contenidos:
- Table of Contents Introducing Kaggle and Other Data Science Competitions Organizing Data with Datasets Working and Learning with Kaggle Notebooks Leveraging Discussion Forums Competition Tasks and Metrics Designing Good Validation Modeling for Tabular Competitions Hyperparameter Optimization Ensembling with Blending and Stacking Solutions Modeling for Computer Vision Modeling for NLP Simulation and Optimization Competitions Creating Your Portfolio of Projects and Ideas Finding New Professional Opportunities.
