Kaggle Notebooks are part of the Kaggle platform. Kaggle is a free platform that allows you to run data analytics and machine learning (ML) code on your own data. Once you are registered, you can upload your data to the platform and start applying ML algorithms to it. Kaggle also offers an online platform where you can share your work with other members of the community. Notebooks are a big part of the Kaggle platform.
In this tutorial, we will teach you how to use the Kaggle Notebooks feature. We will describe the steps you need to follow to create a notebook and run your ML code.
Note: If you are interested in the Notebook UI or want to follow our reference designs, you can download them from the Kaggle Notebook Templates site.
Before starting, let’s take a look at the current UI:
We’ll see how you can navigate the notebook view. You can also navigate using keyboard shortcuts. This guide is for new users; for more detail on navigating the UI, you can refer to our other documentation, or check out the other articles in this Kaggle course.
Step 1: Create a Kaggle account
Create a Kaggle account if you haven’t done so already. If you already have a Kaggle account, skip this step.
Step 2: Login to the Kaggle platform
Select the "Login" tab on the top-right navigation menu.
Step 3: Select the "Notebooks" tab
Select the "Notebooks" tab on the top-right navigation menu.
Step 4: Click on the "Create a new notebook" button
Click on the "Create a new notebook" button.
Step 5: Enter a title and description
Enter a title and description for the notebook.
Step 6: Select the dataset for the notebook
Select the dataset for the notebook.
You will use this dataset to run a regression analysis. The name of the dataset is stock_data_regression_business_review.
Step 7: Select a notebook template for the notebook
Select a notebook template to save the notebook in the format you prefer.
Here, we are selecting the notebook template #1.
Step 8: Select a notebook type
Select the notebook type for the notebook.
Here,
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