{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/568ea6e9c2ac40108cb6ba2213ae347d\" frameborder=\"0\" width=\"1914\" height=\"1435\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1435,"width":1914,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1435,"thumbnail_width":1914,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/568ea6e9c2ac40108cb6ba2213ae347d-63f32d1334bba240.gif","duration":292.268,"title":"Training an AI Model for Fashion Trend Prediction","description":"Hi, it's Oscar Bouye from UITEC. In this tutorial, I explain how we train an AI model to predict fashion trends using historical data from 2020 to 2024. We split the data into training, validation, and test sets to optimize the model's parameters. The training phase involves iterative refinement of predictions and monitoring performance. We evaluate the model using three standard metrics to ensure accurate predictions for different trend behaviors. No action requested."}