Google Colab is an executable document that lets you write, run, and share code within Google Drive.
Colaboratory, or “Colab” for short, allows you to write and execute Python in your browser, with
- Zero configuration required
- Free access to GPUs
- Easy sharing
Whether you’re a student, a data scientist, or an AI researcher, Colab can make your work easier.
You just click on the New button on the left when you are in Google Drive as shown below.
One of the most commonly used tools in determining outliers is the Z-score. Z-score is just the number of standard deviations away from the mean that a certain data point is.
In your future data science life, Z-scores are gonna be a really useful way to think about how usual or how unusual a certain data point is. And that’s going to be really valuable once we start making inferences based on our data.
In this story, we will take a deep dive into our notebooks and learn how to detect outliers using Z-Score.
First of all, we need to…
If you haven’t covered the issues in the “Google Colab-1 Getting Started” story please follow the link below.
If you have already covered the issues in the first story we may go on with the other features of Google Colab. In this story we will cover how to:
- Switch to the dark mode
- Read a CSV file
- Where to find the shortcut for stack overflow
- Restart kernel
- Commit to GitHub and share
- Share your notebook.
Anyone who likes the dark mode can click the Tools tab, and then settings as seen below.
