The Kaggle Book
Cód:
491_9781801817479
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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 KagglersSharpen your modeling skills with ensembling, feature engineering, adversarial validation and AutoMLA concise collection of smart data handling techniques for modeling and parameter tuningBook 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 the rest of the community, and gain valuable experience to help grow your career.The first book of its kind, The Kaggle Book assembles the techniques and skills youll need for success in competitions, data science projects, and beyond. Two Kaggle Grandmasters walk you through modeling strategies you wont easily find elsewhere, and the knowledge theyve accumulated along the way. As well as Kaggle-specific tips, youll learn more general techniques for approaching tasks based on image, tabular, and textual data, and reinforcement learning. Youll 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.What You Will Learn:Get acquainted with Kaggle as a competition platformMake the most of Kaggle Notebooks, Datasets, and Discussion forumsCreate a portfolio of projects and ideas to get further in your careerUnderstand binary and multi-class classification and object detectionApproach NLP and time series tasks more effectivelyDesign k-fold and probabilistic validation schemesGet to grips with common and never-before-seen evaluation me
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