Quick Feature Demos

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Quick Feature Demos

Quick Feature Demos and Explanations
These quick product videos provide quick, straightforward explanations of various feature workflows. You can ask questions directly on a video post or in Ask. Make sure to let us know which are most helpful (give them a Kudo!) and any other video ideas you have.
mcohen
Data Scientist
Data Scientist

Presents a step-by-step guide to using MLOps with a model that runs in another environment (Release 6.1).

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emily
Data Scientist
Data Scientist

Shows how to solve a classification problem with DataRobot. Specifically, you’ll learn about importing data, exploratory data analysis, target selection, as well as modeling options, evaluation, interpretation, and deployment. (Release 6.2).

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mcohen
Data Scientist
Data Scientist

Explains using the Models > Insights tab to investigate models, and understand model insights.

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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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Linda
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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Linda
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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Linda
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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Linda
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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Linda
Community Team
Community Team

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

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Linda
Community Team
Community Team

Using Python with DataRobot videos (Release 6.3)

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Linda
Community Team
Community Team

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

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Linda
Community Team
Community Team

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

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Linda
Community Team
Community Team

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

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Linda
Community Team
Community Team

Feature Discovery demo video (Release 6.2)

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Linda
Community Team
Community Team

Quick tour of Eureqa models (Release 6.0.0 video)

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Linda
Community Team
Community Team

DataRobot MLOps model governance demo video (Release 6.3)

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Announcements
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.

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!