YoVDO

MLOps: Databricks MLFlow and Optuna Hyper-parameter Tuning

Offered By: The Machine Learning Engineer via YouTube

Tags

MLOps Courses Machine Learning Courses Databricks Courses Hyperparameter Tuning Courses XGBoost Courses MLFlow Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore hyperparameter tuning of an XGBoost model using Databricks, MLflow, and Optuna in this 37-minute video tutorial. Learn how to leverage these powerful tools in combination to optimize machine learning models. Gain hands-on experience with MLOps practices as you follow along with the step-by-step demonstration. Access the accompanying code on GitHub to further enhance your understanding and apply the techniques to your own projects.

Syllabus

MLOps MLFlow: Databricks MLFLow and Optuna Hyper-parameter Tuning


Taught by

The Machine Learning Engineer

Related Courses

Predicción del fraude bancario con autoML y Pycaret
Coursera Project Network via Coursera
Clasificación de datos de Satélites con autoML y Pycaret
Coursera Project Network via Coursera
Regresión (ML) en la vida real con PyCaret
Coursera Project Network via Coursera
ML Pipelines on Google Cloud
Google Cloud via Coursera
ML Pipelines on Google Cloud
Pluralsight