<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/d93d46ef95db482099b530c5f1168b82&quot; frameborder=&quot;0&quot; width=&quot;1470&quot; height=&quot;1102&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1102</height><width>1470</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1102</thumbnail_height><thumbnail_width>1470</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/d93d46ef95db482099b530c5f1168b82-00001.gif</thumbnail_url><duration>528.628</duration><title>Using Colab, Kaggle, and GitHub for Data Analysis</title><description>In this video, I explain how to use Colab, Kaggle, and GitHub for data analysis. I walk you through the process of connecting your Google app to your Google Drive, downloading datasets, and using shell commands. I also provide tips for troubleshooting common issues. If you&apos;re interested in uploading repositories on GitHub, I discuss the process and offer alternative methods. Pay special attention to the section on getting your Kaggle to Google Drive connection working, as it is the most important step.</description></oembed>