Remove experimental references in documentation.

CONTRIBUTING.md

@@ -1,6 +1,6 @@
 # Welcome!
 
-If you are here, it means you are interested in helping us out. A hearty welcome and thank you! While this is an experimental project, we will make our best effort to respond to feedback and issues. If you would like to join the effort, here are ways you can contribute to the NimbusML project:
+If you are here, it means you are interested in helping us out. A hearty welcome and thank you! Here are ways you can contribute to the NimbusML project:
 
 * Offer PRs to fix bugs or implement new features.
 * Give us feedback and bug reports regarding the software or the documentation.

README.md

@@ -3,7 +3,7 @@
 
 [NimbusML](https://github.com/Microsoft/NimbusML) is a package of Python bindings for the [ML.NET](https://www.microsoft.com/net/learn/apps/machine-learning-and-ai/ml-dotnet) framework. ML.NET is a machine learning framework designed for .NET developers to build and use great machine learning models in their applications. It provides battle-tested state-of-the-art ML algorithms, transforms and components, aiming to make them useful for all developers. However, we also know that often people work in multiple programming languages or work in teams where people use multiple programming languages. 
 
-In machine learning, Python has become very popular. We want to enable as many people to benefit from the ML.NET machine learning framework as possible and enable teams to work together, so we've created this project as experimental Python bindings for ML.NET.
+In machine learning, Python has become very popular. We want to enable as many people to benefit from the ML.NET machine learning framework as possible and enable teams to work together, so we've created this project as Python bindings for ML.NET.
 
 This is an open source project located at https://github.com/Microsoft/NimbusML. We'd love for you to try it out and/or contribute! For a full list of the samples/notebooks, please refer to our [documentation](https://docs.microsoft.com/en-us/nimbusml/overview).