video1.0<iframe src="https://www.loom.com/embed/ec81fd50582c4c1f86f1a44a709c4891" frameborder="0" width="1770" height="1327" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>13271770Loomhttps://www.loom.com13271770https://cdn.loom.com/sessions/thumbnails/ec81fd50582c4c1f86f1a44a709c4891-a2906fd4beda088b.gif225.686In 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.