{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/ec81fd50582c4c1f86f1a44a709c4891\" 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/ec81fd50582c4c1f86f1a44a709c4891-a2906fd4beda088b.gif","duration":225.686,"title":"Data Preparation for Model Building","description":"In this video, I walk you through the crucial steps of data preparation for model building. I explain the importance of formatting date-time variables and setting categorical fields for efficient model selection. Additionally, I emphasize the significance of proper data splitting for hyperparameter tuning and model evaluation. Pay close attention to the time series cross-validation method I use to ensure accurate model performance assessment."}