The C3 .ai system contains AI Suite provides researchers many tools to help scientists with their data analysis. We want researchers to have the option to get started using C3 right away. This guide details analyze data and build and deploy machine learning models. To get started using the C3 AI Suite, please follow the C3.ai DTI Quickstart guide. This guide explains how to connect to a C3.ai cluster,  fetch data you want to use, and convert it into a form that you can more easily analyze. Consider this guide to cover 'simple read-only' tasks.

This guide serves as a starting point for your C3 journey, but does not expose most of C3's API or potential.

Connecting to a C3 Cluster

access data using C3.ai methods, and convert C3.ai method outputs to an easy-to-analyze form.

Please note, this guide covers how to run read-only queries on the C3 AI Suite. For more advanced topics, such as loading data, building metrics, or configuring and training machine learning models, please refer to the following wikis:

• Data Integration (Not yet available)
• Metrics (Not yet available)
• Machine Learning (Not yet available)

Connect to a C3.ai cluster

There are several options to connect to a C3.ai There are a couple options for connecting to the C3 Cluster:

• Python
  • Use C3 integrated Jupyter Notebook
  • Connecting to C3 Cluster from Python Session
  • Install Jupyter Notebook & Connect to the C3 Container
• JS
  • Using Browser to Connect to the C3 Suite

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