Stay one step ahead of your competitors with proven tips, strategies, and insights from over 30 Kaggle Masters and Grandmasters and become a better data scientist.This new edition features updated content and new chapters on Kaggle Models, time series, and Generative AI competitions. Key FeaturesLearn how Kaggle works to make the most of every competition with winning strategies from 30+ expert KagglersSharpen your modeling skills with feature engineering, adversarial validation, gradient boosting, tabular deep learning, ensembling, and AutoMLMaster data handling techniques for smarter modeling and parameter tuningPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionKaggle has become the proving ground for millions of data enthusiasts worldwide, offering what no classroom tutorial can match: battle-tested skills built through real-world challenges and the hands-on experience that employers seek. Every competition sharpens your data analysis skills, expands your network within the data scientist community, and gives compelling proof of expertise to unlock career opportunities.The first book of its kind, The Kaggle Book brings together everything you need to excel in competitions, data science projects, and beyond. This new edition includes fresh content and new chapters on Kaggle Models, time series, and Generative AI competitions, with three Kaggle Grandmasters guiding you through modeling strategies and sharing hard-earned insights accumulated over years of competition.The book extends far past competition tactics, revealing techniques for tackling image, tabular, and textual data as well as reinforcement learning tasks. You’ll also discover tips for designing better validation schemes and working confidently with both standard and unconventional evaluation metrics.Whether you want to climb the Kaggle leaderboard, accelerate your data science career, or improve the accuracy of your models, this book is for you.Join our Discord community of over 1,000 members to learn, share, and grow together!What you will learnGet acquainted with Kaggle as a competition platformMake the most of Kaggle Notebooks, Datasets, Models and Discussion forumsBuild a compelling portfolio of projects and ideas to advance your careerUnderstand binary and multi-class classification, as well as object detectionApproach NLP and time series problems with greater efficiencyDesign k-fold and probabilistic validation schemes and experiment with multiple approachesGet to grips with common and never-before-seen evaluation metricsHandle simulation, optimization, and the new Generative AI competitions on KaggleWho this book is forThis book is for anyone interested in Kaggle, whether you’re just starting out, a veteran user, or somewhere in between. Data analysts and data scientists looking to improve their performance in Kaggle competitions and improve their job prospects with tech giants will find this book useful.A basic understanding of machine learning concepts will help you get the most out of this book.

Stay one step ahead of your competitors with proven tips, strategies, and insights from over 30 Kaggle Masters and Grandmasters and become a better data scientist.This new edition features updated content and new chapters on Kaggle Models, time series, and Generative AI competitions. Key FeaturesLearn how Kaggle works to make the most of every competition with winning strategies from 30+ expert KagglersSharpen your modeling skills with feature engineering, adversarial validation, gradient boosting, tabular deep learning, ensembling, and AutoMLMaster data handling techniques for smarter modeling and parameter tuningPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionKaggle has become the proving ground for millions of data enthusiasts worldwide, offering what no classroom tutorial can match: battle-tested skills built through real-world challenges and the hands-on experience that employers seek. Every competition sharpens your data analysis skills, expands your network within the data scientist community, and gives compelling proof of expertise to unlock career opportunities.The first book of its kind, The Kaggle Book brings together everything you need to excel in competitions, data science projects, and beyond. This new edition includes fresh content and new chapters on Kaggle Models, time series, and Generative AI competitions, with three Kaggle Grandmasters guiding you through modeling strategies and sharing hard-earned insights accumulated over years of competition.The book extends far past competition tactics, revealing techniques for tackling image, tabular, and textual data as well as reinforcement learning tasks. You’ll also discover tips for designing better validation schemes and working confidently with both standard and unconventional evaluation metrics.Whether you want to climb the Kaggle leaderboard, accelerate your data science career, or improve the accuracy of your models, this book is for you.Join our Discord community of over 1,000 members to learn, share, and grow together!What you will learnGet acquainted with Kaggle as a competition platformMake the most of Kaggle Notebooks, Datasets, Models and Discussion forumsBuild a compelling portfolio of projects and ideas to advance your careerUnderstand binary and multi-class classification, as well as object detectionApproach NLP and time series problems with greater efficiencyDesign k-fold and probabilistic validation schemes and experiment with multiple approachesGet to grips with common and never-before-seen evaluation metricsHandle simulation, optimization, and the new Generative AI competitions on KaggleWho this book is forThis book is for anyone interested in Kaggle, whether you’re just starting out, a veteran user, or somewhere in between. Data analysts and data scientists looking to improve their performance in Kaggle competitions and improve their job prospects with tech giants will find this book useful.A basic understanding of machine learning concepts will help you get the most out of this book.