Benefits of Google Colab

Google Colab offers several benefits that make it a popular choice among data scientists, researchers, and machine learning practitioners. Key features of Google Collaboratory notebook include:

• Free Access to GPUs: Colab offers free GPU access, which is particularly useful for training machine learning models that require significant computational power.

• No Setup Required: Colab runs in the cloud, eliminating the need for users to set up and configure their own development environment. This makes it convenient for quick coding and collaboration.
• Collaborative Editing: Multiple users can work on the same Colab notebook simultaneously, making it a useful tool for collaborative projects.
• Integration with Google Drive: Colab is integrated with Google Drive, allowing users to save their work directly to their Google Drive account. This enables easy sharing and access to notebooks from different devices.
• Support for Popular Libraries:Colab comes pre-installed with many popular Python libraries for machine learning, data analysis, and visualization, such as TensorFlow, PyTorch, Matplotlib, and more.
• Easy Sharing:Colab notebooks can be easily shared just like Google Docs or Sheets. Users can provide a link to the notebook, and others can view or edit the code in real-time.

If you want to create a machine learning model but say you don’t have a computer that can take the workload, Google Colab is the platform for you. In this article, we’ll learn how to use google colab.