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Introduce Rhinos in the savanna
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Now, it's time to build your models! Databricks supports a wide range of machine learning libraries, including **scikit-learn, TensorFlow, and PyTorch**. You can use these libraries to build, train, and evaluate your models. Databricks also integrates with **MLflow**, making it easy to track your experiments and compare different models. MLflow helps you manage the entire model lifecycle, from development rhinos in the savanna to production. You can also use Databricks' built-in tools for model evaluation, including metrics, visualizations, and reporting. With Databricks, you can build powerful models and gain valuable insights from your data. Databricks ML offers a collaborative environment for experimentation, allowing data scientists to quickly iterate and evaluate different models. This iterative approach enables faster development and deployment of high-performance models.
