Which is better for machine learning and data, Laravel or Django?

Django, clearly, when machine learning or data science is core to the product. Python is the dominant language for ML and data work (NumPy, pandas, scikit-learn, PyTorch, TensorFlow, the entire scientific stack), so a Django backend sits naturally next to the ML and data pipeline in the same language. A Laravel application that needs ML typically calls out to a separate Python service, which is a perfectly workable architecture but adds an integration boundary. If ML and data are central to the product, Django removes that boundary. If ML is a peripheral feature, the boundary is cheap and Laravel stays competitive.