Quick Feature Demos

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Quick Feature Demos

Thodoris
Data Scientist
Data Scientist

Showcases how to connect to a JDBC-compliant database using the DataRobot AI Catalog, demonstrated by connecting DataRobot to a Snowflake database and loading the contents of a specific table. (Release 6.0)

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mcohen
Data Scientist
Data Scientist

Presents a simple step-by-step guide to using your own custom, pre-trained model with DataRobot MLOps. (Release 6.2)

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Tony
Data Scientist
Data Scientist

Explains how to build, select, and deploy unsupervised learning models for anomaly detection. (Release 6.2)

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emily
Data Scientist
Data Scientist

Explains options you have when creating a project in DataRobot, to customize modeling. (Release 6.2)

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emily
Data Scientist
Data Scientist

Explains model evaluation techniques, including Lift Chart, ROC Curve, Prediction Distribution graphs, and the Profit Curve tool. (Release 6.2)

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Tony
Data Scientist
Data Scientist

Walks through setting up a prediction file for a DataRobot time series model, and using DataRobot UI to generate predictions. (Release 6.1)

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Tony
Data Scientist
Data Scientist

End-to-end walkthrough of creating a demand forecast with DataRobot Automated Time Series. (Release 6.2)

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lhaviland
Community Team
Community Team

Explains how DataRobot handles text features using state of the art Natural Language Processing (NLP) tools such as Matrix of Word N-gram, Auto-Tuned Word N-gram Text Modelers, Word2Vec, Fasttext, cosine similarity, and Vowpal Wabbit. Also, covers NLP visualization techniques such as frequency value table and word clouds. (Release 6.0)

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lhaviland
Community Team
Community Team

Simple step-by-step guide to using DataRobot MLOps through a typical model deployment and monitoring lifecycle. (Release 6.0)

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lhaviland
Community Team
Community Team

End-to-end walkthrough of performing time series classification with DataRobot Automated Time Series (or AutoTS) (Release 6.2).

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lhaviland
Community Team
Community Team

Video explaining how to interpret the model Leaderboard and the different tools it provides (Release 6.3).

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lhaviland
Community Team
Community Team

Video showing how to import data into DataRobot through the UI. (Release 6.0)

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lhaviland
Community Team
Community Team

Using Python with DataRobot videos (Release 6.3)

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lhaviland
Community Team
Community Team

Presents the different types of data science problems that DataRobot can solve (Release 6.0)

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lhaviland
Community Team
Community Team

Hospital Readmissions (Binary Classification) demo video (Release 6.2)

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lhaviland
Community Team
Community Team

Overview of different ways to deploy DataRobot models (Release 6.0).

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lhaviland
Community Team
Community Team

Feature Discovery demo video (Release 6.2)

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lhaviland
Community Team
Community Team

Quick tour of Eureqa models (Release 6.0.0 video)

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lhaviland
Community Team
Community Team

DataRobot MLOps model governance demo video (Release 6.3)

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Announcements
Need a Tip?
DataRobot experts are putting together some helpful DataRobot usage tips for the platform, trial, features, etc. You can find these easily in the Tip of the Day board (under Read). Let us know if you've found a good one or have a good one to add!

DataRobot Release 7.1
Ready to learn about changes in the latest release? See the What's New in DataRobot Release 7.1? article, and the DataRobot Release 7.1 (on-demand) webinar. If you have questions about the release, you can ask them right here!

DataRobot + Zepl
The acquisition of Zepl and integration of its self-service data science notebook solution provides additional flexibility for data scientists who prefer to code. Jason's blog post provides an end-to-end DataRobot demo that uses Zepl notebooks. You can check out Zepl today.

New to DataRobot? Check out all the resources to help you get going quickly! See the quick index for Knowledge Base Resources and quick index for Learning Sessions to find links to some great learning content.