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The Kaggle Book Data analysis and machine learning

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The Kaggle Book Data analysis and machine learning

Sách keo gáy, Bìa mềm
 
Thể loại:Computers - Computer Science
 
Năm:2022
 
Ngôn ngữ:english
 
Trang:531
 
 
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 30 expert Kagglers
Sharpen your modeling skills with ensembling, feature engineering, adversarial validation and AutoML
A concise collection of smart data handling techniques for modeling and parameter tuning
 
Book Description
 
Millions
of data enthusiasts from around the world compete on Kaggle, the most
famous data science competition platform of them all. Participating in
Kaggle competitions is a surefire way to improve your data analysis
skills, network with an amazing community of data scientists, and gain
valuable experience to help grow your career.
 
The first book of
its kind, The Kaggle Book assembles in one place the techniques and
skills you'll need for success in competitions, data science projects,
and beyond. Two Kaggle Grandmasters walk you through modeling strategies
you won't easily find elsewhere, and the knowledge they've accumulated
along the way. As well as Kaggle-specific tips, you'll learn more
general techniques for approaching tasks based on image, tabular,
textual data, and reinforcement learning. You'll design better
validation schemes and work more comfortably with different evaluation
metrics.
 
Whether you want to climb the ranks of Kaggle, build some
more data science skills, or improve the accuracy of your existing
models, this book is for you.