Dask-ML

Dask-ML is a Python library designed to help machine learning tasks handle large datasets efficiently. It extends popular tools like scikit-learn by enabling computations to run in parallel across multiple computers or processors. This means it can process data that’s too big for a single machine, speeding up tasks like training models or making predictions. Dask-ML seamlessly integrates with existing workflows, making large-scale machine learning more accessible without requiring specialized hardware or complex setup. Essentially, it makes scaling up machine learning more straightforward and efficient.