<?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/9816eea7460f4600a91a3f6c132a06df&quot; frameborder=&quot;0&quot; width=&quot;1728&quot; height=&quot;1296&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1296</height><width>1728</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1296</thumbnail_height><thumbnail_width>1728</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/9816eea7460f4600a91a3f6c132a06df-3c728cd9939a1a43.gif</thumbnail_url><duration>2377.881</duration><title>Feature Engineering</title><description>In this video, I walk you through the crucial steps of model building. I demonstrate data computation, feature extraction, time series decomposition, and model training using random forest. I emphasize the importance of hyperparameter tuning and model evaluation to achieve accurate predictions. No specific action is requested from viewers.</description></oembed>