Quick Start Guides


Here you can find links to the various Quick Start Guides to get a brief walkthrough of the basics of the using the Nexosis API. By following these walkthroughs using sample datasets, you will learn all of the steps needed to make predictions and forecasts using the Nexosis API.


Classification

This is a Quick Start Guide that introduces the basics of using the Nexosis API to build a Classification model and then how to use that model to classify data.

Regression

This is a Quick Start Guide that introduces the basics of using the Nexosis API to build a Regression model and then how to use that model to make a series of predictions.

Forecasting

This Quick Start introduces how to use the Nexosis API to build Time Series based linear-regression model. By following this walkthrough, which uses a sample dataset, you will learn all of the steps needed to make forecasts using the Nexosis API.

Anomaly Detection

This is a Quick Start Guide that introduces the basics of using the Nexosis API to build an Anomaly Detection model and then how to use that model to return if submitted data is anomalous or not.


Watch this area for more Quick Start Guides as they become available.