Understanding your dataset is crucial before moving on to model development; it can take varying amounts of time to ensure everything is in order. Having a clear product goal and a hypothesis about model performance helps guide the process. Additionally, the importance of explainability is highlighted, especially in business contexts, as it fosters confidence in how models make decisions.
