API I Python

API I Python

Learn advanced techniques and integration with Python.

About this Mission

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   

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. 

Session A | Modeling Basics with the API (3.5 hrs)

Instructor-led Session Date Spaces left
API I Python : Session A 8
API I Python : Session A 17
API I Python : Session A 20

Session B | Model Interpretation, Understanding, and Deployment with the API (3.5 hrs)

Instructor-led Session Date Spaces left
API I Python : Session B 8
API I Python : Session B 17
API I Python : Session B 20

Action Plan2 Sessions

  • Prerequisites
  • Python Installation Instructions
  • Prerequisite Jupyter Notebook
  • Instructor-led Session (Virtual)
  • Session A | Modeling Basics with the API (3.5 hrs)
  • Give Us Your Feedback
  • Instructor-led Session (Virtual)
  • Session B | Model Interpretation, Understanding, and Deployment with the API (3.5 hrs)
  • Give Us Feedback!
  • What's Next...
  • Resources
  • API I Python files

About this Mission

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   

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. 

Instructor-led Sessions

Session A | Modeling Basics with the API (3.5 hrs)

Instructor-led Session Date Spaces left
API I Python : Session A 8
API I Python : Session A 17
API I Python : Session A 20

Session B | Model Interpretation, Understanding, and Deployment with the API (3.5 hrs)

Instructor-led Session Date Spaces left
API I Python : Session B 8
API I Python : Session B 17
API I Python : Session B 20

Action Plan2 Sessions

  • Prerequisites
  • Python Installation Instructions
  • Prerequisite Jupyter Notebook
  • Instructor-led Session (Virtual)
  • Session A | Modeling Basics with the API (3.5 hrs)
  • Give Us Your Feedback
  • Instructor-led Session (Virtual)
  • Session B | Model Interpretation, Understanding, and Deployment with the API (3.5 hrs)
  • Give Us Feedback!
  • What's Next...
  • Resources
  • API I Python files