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Effective XGBoost: Optimizing, Tuning, Understanding, and Deploying Classification Models (Treading on Python) by Harrison, Matt | Paperback
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Specifications
| author | Harrison, Matt |
| publisher | MetaSnake |
| isbn13 | 9781792310393 |
| isbn10 | 1792310390 |
| binding | paperback |
| language | english |
| publication_date | 2023-03-21 |
| asin | 1792310390 |
Product Description
Here on GlowMirror, you'll find Effective XGBoost: Optimizing, Tuning, Understanding, and Deploying Classification Models (Treading on Python) by Harrison, Matt | Paperback filed under Books -- everything you need to know is covered below.
About this book
Effective XGBoost: Optimizing, Tuning, Understanding, and Deploying Classification Models (Treading on Python) by Harrison, Matt published by MetaSnake.
Related topics
classification xgboost, effective xgboost, gradient boosting with xgboost, mlflow xgboost, pandas xgboost, shap xgboost, xgboost python.
Book Insights
What You'll Learn
- ·In-depth exploration of topics covered in Effective XGBoost: Optimizing, Tuning, Understanding, and Deploying Classification Models (Treading on Python) by Harrison, Matt | Paperback
- ·Key concepts explained with clarity and practical examples
- ·Insights valuable for anyone studying or working in Books
Who Should Read This
Students and professionals interested in Books, as well as general readers looking to expand their knowledge.
Key Highlights
- ·Brand new physical book delivered across India
- ·15-day hassle-free return policy
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Is Effective XGBoost: Optimizing, Tuning, Understanding, and Deploying Classification Models (Treading on Python) by Harrison, Matt | Paperback available in English?
Effective XGBoost: Optimizing, Tuning, Understanding, and Deploying Classification Models (Treading on Python) by Harrison, Matt | Paperback is available in english on GlowMirror.
Who is the author of Effective XGBoost: Optimizing, Tuning, Understanding, and Deploying Classification Models (Treading on Python) by Harrison, Matt | Paperback?
Effective XGBoost: Optimizing, Tuning, Understanding, and Deploying Classification Models (Treading on Python) by Harrison, Matt | Paperback is authored by Harrison, Matt.
Who published Effective XGBoost: Optimizing, Tuning, Understanding, and Deploying Classification Models (Treading on Python) by Harrison, Matt | Paperback?
Effective XGBoost: Optimizing, Tuning, Understanding, and Deploying Classification Models (Treading on Python) by Harrison, Matt | Paperback is published by MetaSnake.
How many pages does Effective XGBoost: Optimizing, Tuning, Understanding, and Deploying Classification Models (Treading on Python) by Harrison, Matt | Paperback have?
Page count information for Effective XGBoost: Optimizing, Tuning, Understanding, and Deploying Classification Models (Treading on Python) by Harrison, Matt | Paperback is available in the specifications section of this page.
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At an average reading speed of 250 words per minute, reading Effective XGBoost: Optimizing, Tuning, Understanding, and Deploying Classification Models (Treading on Python) by Harrison, Matt | Paperback takes a few hours to a few days depending on reading pace.
What is Effective XGBoost: Optimizing, Tuning, Understanding, and Deploying Classification Models (Treading on Python) by Harrison, Matt | Paperback about?
About this book
Effective XGBoost: Optimizing, Tuning, Understanding, and Deploying Classification Models (Treading on Python) by Harrison, Matt published by MetaSnake.
Related topics
classification xgboost, effective xgboost, gradient boosting with xgboost, mlflow xgboost, pandas xgboost, shap xgb...
Is Effective XGBoost: Optimizing, Tuning, Understanding, and Deploying Classification Models (Treading on Python) by Harrison, Matt | Paperback suitable for beginners?
Whether Effective XGBoost: Optimizing, Tuning, Understanding, and Deploying Classification Models (Treading on Python) by Harrison, Matt | Paperback is suitable for beginners depends on your background in Books. Review the product description and specifications above for details on the target audience and difficulty level.
What edition is Effective XGBoost: Optimizing, Tuning, Understanding, and Deploying Classification Models (Treading on Python) by Harrison, Matt | Paperback?
Effective XGBoost: Optimizing, Tuning, Understanding, and Deploying Classification Models (Treading on Python) by Harrison, Matt | Paperback is from the MetaSnake edition/year. Check the specifications section for full edition details.
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Is Effective XGBoost: Optimizing, Tuning, Understanding, and Deploying Classification Models (Treading on Python) by Harrison, Matt | Paperback a new or used book?
Effective XGBoost: Optimizing, Tuning, Understanding, and Deploying Classification Models (Treading on Python) by Harrison, Matt | Paperback listed on GlowMirror is a brand new book in good condition.
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