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.
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 |
|---|---|---|---|
May 06 | 09 AM - 01 PM (Europe/London) | English | $750.00 |
May 07 | 02 PM - 06 PM (Australia/Sydney) | English | $750.00 |
May 10 | 09 AM - 01 PM (America/New_York) | English | $750.00 |
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
If your company has purchased success credits or has a learning subscription, please fill out the Training Request form. Otherwise, you can register below.
Private Class Request
If your company is interested in private training, please submit a request.
Registration options
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Upcoming Public Classes
Career Workshop/
March 20
