The Kaggle Book: Data analysis and machine learning for competitive data science

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· Packt Publishing via PublishDrive · Narrated by Alex Freeman
Audiobook
12 hr 29 min
Unabridged
Eligible
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About this audiobook

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 audiobook 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 audiobook is for you.

About the author

Konrad Banachewicz holds a PhD in statistics from Vrije Universiteit Amsterdam. He is a lead data scientist at eBay and a Kaggle Grandmaster. He worked in a variety of financial institutions on a wide array of quantitative data analysis problems. In the process, he became an expert on the entire lifetime of a data product cycle. Luca Massaron is a data scientist with more than a decade of experience in transforming data into smarter artifacts, solving real-world problems, and generating value for businesses and stakeholders. He is the author of bestselling books on AI, machine learning, and algorithms. Luca is also a Kaggle Grandmaster who reached no. 7 in the worldwide user rankings for his performance in data science competitions, and a Google Developer Expert (GDE) in machine learning. He was part of books like The Kaggle Book, Machine Learning For Dummies, Algorithms for Dummies, Artificial Intelligence For Dummies. My warmest thanks go to my family, Yukiko and Amelia, for their support and loving patience.

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