The Kaggle Book

Vrije Universiteit Amsterdam awarded Konrad Banachewicz a PhD in statistics. He is a Kaggle Grandmaster and eBay's top data scientist. He worked on a wide range of quantitative data analysis problems in a number of financial firms. As a result, he became an authority on the complete life cycle of a data product.

Luca Massaron, who started Kaggle over ten years ago, is a Kaggle Grandmaster in talks and a Kaggle Master in competitions and notebooks. In Kaggle tournaments, he ranked seventh in the globe. Luca is a data scientist with over a decade of expertise translating data into intelligent artifacts, solving real-world challenges, and delivering value for organizations and stakeholders. He is a machine learning Google Developer Expert (GDE) and the author of best-selling books on AI, machine learning, and algorithms.

Kaggle, the most well-known data science competition website, attracts millions of data lovers from around the world. Participating in Kaggle competitions is a proven way to enhance your data analysis skills, network with an incredible community of data scientists, and acquire significant experience to help you advance in your profession.

The Kaggle Book is the first book of its kind, bringing together all of the tools and abilities you'll need to succeed in contests, data science projects, and beyond. Two Kaggle Grandmasters take you through modeling tactics you won't find anywhere else, as well as the knowledge they've gained along the road. You'll learn more broad approaches for approaching projects based on picture, tabular, textual, and reinforcement learning, in addition to Kaggle-specific suggestions. You'll be able to create better validation schemes and operate more comfortable with various evaluation criteria.

The Kaggle Book is for you if you want to climb the Kaggle ranks, learn more about data science, or enhance the accuracy of your existing models.

What you will discover:

• Learn about Kaggle as a competitive platform.
• Utilize Kaggle Notebooks, Datasets, and Discussion Forums to their full potential.
• To advance in your job, create a portfolio of work and ideas.
• Create systems for k-fold and probabilistic validation.
• Learn about popular and never-before-seen evaluation metrics.
• Recognize binary and multi-class classification, as well as object detection
• Improve your approach to NLP and time series tasks.
• On Kaggle, you can compete in simulation and optimization competitions.

This book is appropriate for anyone new to Kaggle, as well as experienced users. This book will be valuable for data analysts/scientists who want to improve their Kaggle scores and land jobs with tech behemoths. This book will be more useful if you have a basic understanding of machine learning ideas.

Author: Konrad Banachewicz and Luca Massaron

Link to buy: https://www.amazon.com/Data-Analysis-Machine-Learning-Kaggle/dp/1801817472/

Ratings: 4.5 out of 5 stars (from 40 reviews)

Best Sellers Rank: #60,443 in Books

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