Types of Data Science Problems that DataRobot Addresses

[#1]

This article explains the types of data science problems that DataRobot can solve.

Classification

If your prediction target is a categorical feature, this is a classification problem. DataRobot supports both binary and multiclass classification problems.

Figure 1. Classification

Regression

With regression problems, a prediction target is a continuous feature that can take values from -∞ to +∞. DataRobot provides many regression models to predict continuous features.

Figure 2. Regression

Text Processing

DataRobot handles text natively and performs pre-processing of text. This allows text to be easily used when modeling with DataRobot.

Figure 3. Natural Language Processing - Word cloud generated by DataRobot

Time Series Regression and Classification

DataRobot AutoTS is a great candidate for time series problems where the target is a value indexed in time. Both Time Series regression and classification problems are supported.

Figure 4. Time Series Regression and Classification

Anomaly Detection

DataRobot is capable of performing unsupervised learning for anomaly detection problems where you do not have a known target, yet you're trying to find irregularities in your data.

Figure 5. Anomaly Detection

[manohariika]

Can I use DataRobot for Image processing such as Object detection, Classification etc? Please provide me links of videos how to use the datarobot for Visual AI.

Thank you,

Manohar

[lhaviland]

Hi @manohariika - Have you see the video in this article  ?

Also, Ivan provides a great demo for visual AI in this learning session.

And, there's also this recorded webinar on DataRobot.com, which provides even more information for using visual AI.

Is that enough?   Please let me know if you have any additional questions! (and very sorry for the delay in getting back to you)

-Linda