{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/460c17be12c74050ba69e1dba43646ee\" frameborder=\"0\" width=\"1770\" height=\"1327\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1327,"width":1770,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1327,"thumbnail_width":1770,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/460c17be12c74050ba69e1dba43646ee-12b4599d01204ecb.gif","duration":662.516,"title":"Building a Machine Learning Model for Airfare Forecasting ✈️","description":"In this video, I guide you through building a machine learning model to forecast airfare prices using Google Flights data. We aim to predict airline prices and create a scenario planning tool for users. Important steps include data exploration, analysis, feature engineering, selection, model building, and evaluation. No specific action requested, but consider customizing the process to suit your needs."}