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The Kaggle Book

You're reading from The Kaggle Book Data analysis and machine learning for competitive data science

Product type Paperback

Published in Apr 2022

Publisher Packt

ISBN-13 9781801817479

Length 534 pages

Edition 1st Edition

Concepts

Data Analysis

Authors (2):

Konrad Banachewicz

Luca Massaron

View More author details

Table of Contents (4) Chapters

1. Data Analysis and Machine Learning with Kaggle: How to win competitions on Kaggle and build a successful career in data science

2. Introducing data science competitions FREE CHAPTER

3. Organizing Data with Datasets

4. Working and Learning with Kaggle Notebooks

Building around datasets

Once you have created a dataset, you probably want to use in your analysis. You can start a kernel using your dataset as a primary source: go to the Activity tab in the upper menu of your dataset page and scroll to this block:

Alternatively, you can start a conversation around the data by clicking on Create a discussion.

The rest of the chapter is locked

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Authors (2)

Konrad Banachewicz

Konrad Banachewicz

Konrad Banachewicz is the author of the bestselling, The Kaggle Book and The Kaggle Workbook. He is a data science manager with experience stretching longer than he likes to ponder on. He holds a PhD in statistics from Vrije Universiteit Amsterdam, where he focused on problems of extreme dependency modeling in credit risk. He slowly moved from classic statistics towards machine learning and into the business applications world.

See other products by Konrad Banachewicz

Luca Massaron

Luca Massaron

Having joined Kaggle over 10 years ago, Luca Massaron is a Kaggle Grandmaster in discussions and a Kaggle Master in competitions and notebooks. In Kaggle competitions he reached no. 7 in the worldwide rankings. On the professional side, Luca 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 a Google Developer Expert(GDE) in machine learning and the author of best-selling books on AI, machine learning, and algorithms.

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