Introduction to RapidCanvas
Last updated
Last updated
RapidCanvas (RC) is a multidisciplinary and multi-persona data science platform that offers industry-leading tools to build machine learning models and support machine learning needs. It can be used by expert data scientists, citizen data scientists, data engineers, business users, and subject matter experts with varying levels of expertise in data science and programming. As a platform, RC enables real-time collaboration, rapid prototyping, and provides organizations with the best time-to-value.
You can interact with RC through two interfaces:
For users who prefer to develop data science projects without coding, RapidCanvas provides a rich web interface with an easy-to-use canvas for building end-to-end machine learning pipelines. The pipeline consists of a series of steps—data upload, preprocessing, model training and testing, and deployment—all executed together to build effective and accurate models.
For users who prefer coding and developing data science projects, RapidCanvas offers a notebook interface. There are two ways to use the notebook interface:
Set up the RC SDK on your local machine.
Use hosted notebooks available through the web interface.
Projects created using the notebook interface can be accessed via the web interface, but the reverse is not supported.
To interact with RC through the notebook interface, either install the RC SDK locally or use the hosted notebooks.
RC web interface can be accessed from your browser at . Contact your RC administrator for access credentials.
For detailed instructions on setting up the SDK and using the notebook interface, see the .
The next sections will help you understand the basic concepts of RapidCanvas. For more information, refer to the documentation.
