Book Image

The Kaggle Book

By : Konrad Banachewicz, Luca Massaron
5 (2)
Book Image

The Kaggle Book

5 (2)
By: Konrad Banachewicz, Luca Massaron

Overview of this book

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. Plus, join our Discord Community to learn along with more than 1,000 members and meet like-minded people!
Table of Contents (20 chapters)
Part I: Introduction to Competitions
Part II: Sharpening Your Skills for Competitions
Part III: Leveraging Competitions for Your Career
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Working with datasets

Once you have created a dataset, you probably want to use it in your analysis. In this section, we discuss different methods of going about this.

Very likely, the most important one is starting a Notebook where you use your dataset as a primary source. You can do this by going to the dataset page and then clicking on New Notebook:

Figure 2.7: Creating a Notebook from the dataset page

Once you have done this, you will be redirected to your Notebook page:

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Figure 2.8: Starting a Notebook using your dataset

Here are a few pointers around this:

  • The alphanumeric title is generated automatically; you can edit it by clicking on it.
  • On the right-hand side under Data, you see the list of data sources attached to your Notebook; the dataset I selected can be accessed under ../input/ or from /kaggle/input/.
  • The opening block (with the imported packages, descriptive comments, and printing the list of available files) is...