Explore hyperparameter tuning of an XGBoost model using Databricks and MLflow in this 56-minute video tutorial. Learn how to leverage the powerful combination of Databricks and MLflow for efficient machine learning operations. Dive into a hands-on demonstration of implementing hyperparameter optimization with HyperOpt, enhancing model performance and streamlining the MLOps workflow. Access the accompanying code on GitHub to follow along and apply the techniques to your own projects.
MLOps: Databricks and MLFlow Hyper-parameter Tuning for XGBoost Models
The Machine Learning Engineer via YouTube
Overview
Syllabus
MLOps MLFlow: Databricks and MLFLow Hyper-parameter Tuning #machinelearning
Taught by
The Machine Learning Engineer
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