Advanced DataRobot with Python (1-day compressed version)

Get the best machine learning results using advanced feature engineering and model tuning. Review the powerful pandas data preparation package, and learn to integrate advanced modeling and predictions into an automated workflow with the DataRobot API. DataRobot Essentials or DataRobot for Data Scientists and prior experience with Python required.

Class outline

1. Data Preparation in Pandas

Exploratory analysis

Data cleaning

Data visualization

Table merges

Feature engineering

2. Advanced Techniques in DataRobot

Metric selection

Automated feature engineering

Creating feature lists

Advanced tuning

3. DataRobot API

Creating projects

Defining feature lists

Monitoring

Calling predictions

Pipeline automation

  • 1. Data Preparation in Pandas

    Exploratory analysis

    Data cleaning

    Data visualization

    Table merges

    Feature engineering

  • 2. Advanced Techniques in DataRobot

    Metric selection

    Automated feature engineering

    Creating feature lists

    Advanced tuning

  • 3. DataRobot API

    Creating projects

    Defining feature lists

    Monitoring

    Calling predictions

    Pipeline automation

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  • We know part of the science and the heavy lifting are intrinsic to the DataRobot technology. Prior to working with DataRobot, the modeling process was more hands-on. Now, the platform has optimized and automated many of the steps, while still leaving us in full control. Without DataRobot, we would need to add two full-time staffers to replace what DataRobot delivers.
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