Google Colab for Data Science Projects
Colab is a free cloud-based platform for data science projects
5 min readOct 9, 2021
Modern computational tools like the Google Colaboratory (Colab) notebook could be used for data science projects. Here are some advantages of using Colab notebooks:
- Colab notebooks allow you to combine executable code and rich text in a single document, along with visualizations, plots, images, HTML, LaTEX and more
- With Colab, you can harness the full power of Python libraries to analyze and visualize data
- Colab notebook is a cloud-based tool, so does not require any software installation
- Colab notebooks allow you to import your own data into Colab from your Google Drive as well as from Github and many other sources
- Colab notebooks can be accessed from anywhere with internet connection
- Colab notebooks could easily be shared with collaborators or team members
In this tutorial, we demonstrate the use of Colab notebooks for a machine learning project. We will build a regression model using the cruise_ship_info.csv dataset for recommending the crew size for potential cruise ship buyers. This tutorial will highlight important data science and machine learning concepts such as: