- Prerequisites
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Python Installation Instructions
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Prerequisite Jupyter Notebook
- Instructor-led Session (Virtual)
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Session A | Modeling Basics with the API (3.5 hrs)
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Give Us Your Feedback
- Instructor-led Session (Virtual)
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Session B | Model Interpretation, Understanding, and Deployment with the API (3.5 hrs)
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Give Us Feedback!
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What's Next...
- Resources
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API I Python files
API I Python
Learn advanced techniques and integration with Python.
Use expert techniques to get the best machine learning results with advanced feature engineering and model tuning.
Audience: Users who want to implement Python for modeling processes in DataRobot.
Prerequisite: AutoML I or DataRobot for Data Scientists, or equivalent, with experience in programming in Python.
Requirements: Chrome Browser and Zoom. Please read the installation instructions in the Resources section ahead of time and be sure you are able to successfully run the notebook file.
Completion: Attendance at all instructor-led sessions is required for course completion. These sessions must be taken in the order listed.
Please use this time zone conversion tool to find a session that works best for your schedule and timezone: worldtimebuddy.com
EDT: Americas/Eastern PDT: Americas/Pacific AEDT: Australia/Sydney SGT: Asia/Singapore
BST/GMT: Europe/London
Note: To ensure participants are properly configured and enabled across our internal systems, session registration closes 2 business days prior to the start of the session.
