{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/9b03dc5e55744967a5aa30bd8e614e7b\" frameborder=\"0\" width=\"1728\" height=\"1296\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1296,"width":1728,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1296,"thumbnail_width":1728,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/9b03dc5e55744967a5aa30bd8e614e7b-1686ff810ef11962.gif","duration":2377.881,"title":"Feature Selection","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."}