Ch_2.1: Google Colab for machine learning | Google Colab tutorial for beginners

Welcome to our comprehensive guide on setting up Google Colab for your machine learning projects! In this video, we'll walk you through everything you need to get started with Google Colab, from creating a new notebook to importing datasets and running your first code cells.
🔍 Topics Covered:
1. Introduction to Google Colab
2. Setting up a Google account (if you don't have one)
3. Creating and managing Colab notebooks
4. Sample of Installing and importing libraries
5. Uploading and accessing datasets
6. Running code cells and understanding the interface
7. Saving and sharing your work
📚 Resources Mentioned:
- [Google Colab](colab.research.google.com)
- [Python Libraries Documentation](pypi.org/)
- [Kaggle Datasets](www.kaggle.com/datasets)
💡 Pro Tips:
- Use free GPU/TPU resources for faster computations.
- Utilize Colab's collaboration features to work with team members in real-time.
- Save your notebooks to Google Drive for easy access and backup.
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[@mandradaprasad1219]

Nice class