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In this video, we’ll walk you through everything you need to know to get started with Google Colab, a powerful, cloud-based platform for writing and running Python code using Jupyter Notebooks.
Google Colab Website: colab.google.com
Create a new Google Colab Notebook: https://colab.research.google.com/#create=true
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TABLE OF CONTENTS
00:00 - Introduction to Google Colab
00:08 - What is Jupyter Notebooks?
00:18 - Importance of Jupyter Notebooks for Machine Learning
00:25 - Google Colab Overview
00:46 - Running Code Snippets in Google Colab
01:06 - Access to GPUs and TPUs in Google Colab
01:30 - Switching Between CPU, GPU, and TPU
02:02 - Limitations of Google Colab (Free Version)
02:52 - Getting Started with Google Colab
03:37 - Signing into Google Colab
04:13 - Creating a New Notebook
05:00 - Writing Python Code in Cells
05:42 - Reusing Variables Across Cells
06:34 - Markdown for Adding Text in Google Colab
07:50 - Running System Commands in Google Colab
09:10 - Uploading and Downloading Files
09:45 - Mounting Google Drive to Google Colab
11:13 - Pre-installed Libraries in Google Colab
12:26 - Installing New Libraries with pip
13:14 - Installing Specific Versions of Libraries
13:49 - Summary: Advantages of Google Colab for Learning and Experimentation
14:22 - Invitation to Join AI Learning Hub
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#GoogleColab #Python #DataScience #MachineLearning #JupyterNotebooks #CodingTutorials
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