凭借30多位Kaggle大师和大师级大师的见解，领先竞争对手一步。探索在Kaggle上有效竞争并成为更好的数据科学家的技巧、窍门和最佳实践。
主要特征
了解Kaggle是如何工作的，以及如何充分利用来自30多位Kaggle专家的比赛
通过集成、特征工程、对抗性验证和AutoML提高建模技能
用于建模和参数调整的智能数据处理技术的简明集合
书名
来自世界各地的数百万数据爱好者在其中最著名的数据科学竞赛平台Kaggle上竞赛。参加Kaggle竞赛绝对可以提高你的数据分析技能，与一群了不起的数据科学家建立联系，并获得宝贵的经验，帮助你的职业发展。
作为同类书籍中的第一本，Kaggle book在一个地方汇集了在竞赛、数据科学项目和其他领域取得成功所需的技术和技能。两位Kaggle大师将带领您了解其他地方不易找到的建模策略，以及他们在这一过程中积累的知识。除了Kaggle特有的技巧外，你还将学习更多基于图像、表格、文本数据和强化学习来完成任务的通用技巧。您将设计更好的验证方案，并更轻松地使用不同的评估指标。
无论你是想攀登Kaggle的行列，培养更多的数据科学技能，还是提高现有模型的准确性，这本书都适合你。
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 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.
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