<?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/a6ed1e760a5e40ffa0b6f0e1b97f2899&quot; frameborder=&quot;0&quot; width=&quot;1110&quot; height=&quot;832&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>832</height><width>1110</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>832</thumbnail_height><thumbnail_width>1110</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/a6ed1e760a5e40ffa0b6f0e1b97f2899-b5a5aee9f5a27782.gif</thumbnail_url><duration>82.5387</duration><title>Building a Sentiment Classifier with Machine Learning</title><description>In this video, I walk you through our new sentiment classification project using a machine learning model. We utilize the IMDB dataset for training, and I demonstrate how to start the training process, which yields an impressive accuracy of 85%. After training, I show you how to classify a sample text, like &quot;I love this movie,&quot; and get the predicted label. I encourage you to explore this tool and try it out with your own text inputs. Let&apos;s leverage this technology to enhance our projects!</description></oembed>