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The Kaggle Workbook

You're reading from The Kaggle Workbook Self-learning exercises and valuable insights for Kaggle data science competitions

Product type Paperback

Published in Feb 2023

Publisher Packt

ISBN-13 9781804611210

Length 172 pages

Edition 1st Edition

Languages

Python

Tools

Boost

Concepts

Data Science

Authors (2):

Luca Massaron

Konrad Banachewicz

View More author details

Table of Contents (7) Chapters

Preface

1. The Most Renowned Tabular Competition – Porto Seguro’s Safe Driver Prediction

2. The Makridakis Competitions – M5 on Kaggle for Accuracy and Uncertainty FREE CHAPTER

3. Vision Competition – Cassava Leaf Disease Competition

4. NLP Competition – Google Quest Q&A Labeling

5. Other Books You May Enjoy

6. Index

Summary

In this chapter, we have described how to get started with a baseline solution for an image classification competition and discussed a diverse set of possible extensions for moving to a competitive (medal) zone.

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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