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Machine learning and data science are the two new technologies in which all new-generation computer scientists want to excel.
But, practicing on projects becomes a constraint since you need high-end PCs for such workloads.
The answer to this issue isGoogle Colaboratoryor Colab, in short.
What Is Google Colab?
Google Colabis a Jupyter Notebook-like product from Google Research.
In a nutshell, Google Colab is a cloud-hosted version of Jupyter Notebook.
How Does Google Colab Work?
Google Colab is simply an online representation of Jupyter Notebook.
you could write Python codes using Colab on your Google Chrome or Mozilla Firefox web browsers.
Moreover, Colab lets you reutilize Jupyter Notebook files from GitHub.
Colab efficiently processes the imported assets to display clean and error-free Python codes.
9 Google Colab Features
1.
GPUs and TPUs
Free Colab users get chargeless access to GPU and TPU runtimes for up to 12 hours.
Share the link with the collaborator and fellow programmers who want to work with you.
that are unavailable in the Code snippets.
All you better do is add a one-liner code with the following code prefixes:
4.
Such libraries include NumPy, Pandas, Matplotlib, PyTorch, TensorFlow, Keras, and more ML libraries.
Collaborative Coding
Co-coding is indispensable for group projects.
It helps your team to complete milestones earlier than the expected time frame.
If your team needs real-time collaboration on ML and data science projects, Google Collaborative is just the tool.
Simply send an editable link with the collaborators or invite collaborators for group coding.
Cloud Storage
Google Colab uses your Google Drive storage quota for file-saving purposes.
Cloud storagealso functions as a backup of your data from any disasters.
For import, you could press Ctrl+O and choose the GitHub tab to get code files.
Multiple Data Sources
Google Colaboratory supports various data sources for your ML and AI training projects.
Automatic Version Control
Like Google Sheets and Docs, Google Colab also has an exhaustive history tracker.
The module tracks all the changes made since the file creation.
you could dive into the logs from the File menu and go for the Revision History option.
Why Should You Choose Google Colab?
Colab is free; however, limited resource allocations are not always guaranteed.
For some data science and machine learning models suited for Colab, you might check outGoogle Seedbank.
The best way to learn is by practicing it.
