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Machine Learning Model Development

This comprehensive course provides a practical guide to developing traditional machine learning models on Databricks, emphasizing hands-on demonstrations and workflows using popular ML libraries. This course focuses on executing common tasks efficiently with AutoML and MLflow. Participants will delve into key topics, including regression and classification models, harnessing Databricks' capabilities to track model training, leveraging feature stores for model development, and implementing hyperparameter tuning. Additionally, the course covers AutoML for rapid and low-code model training, ensuring that participants gain practical, real-world skills for streamlined and effective machine learning model development in the Databricks environment.

Skill Level
Associate
Duration
4h
Prerequisites

At a minimum, you should be familiar with the following before attempting to take this content:

  • Knowledge of fundamental concepts of regression and classification methods

  • Familiarity with Databricks workspace and notebooks

  • Intermediate level knowledge of Python

Upcoming Public Classes

Date
Time
Language
Price
Jun 03
09 AM - 01 PM (Europe/London)
English
$750.00
Jun 06
09 AM - 01 PM (America/New_York)
English
$750.00
Jun 27
09 AM - 01 PM (Australia/Sydney)
English
$750.00
Jul 08
02 PM - 06 PM (Europe/London)
English
$750.00
Jul 10
02 PM - 06 PM (America/New_York)
English
$750.00
Jul 11
02 PM - 06 PM (Asia/Kolkata)
English
$750.00

Public Class Registration

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Registration options

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Questions?

If you have any questions, please refer to our Frequently Asked Questions page.