In this playground I practice with libraries such as NumPy, external, Pandas, external, Scikit-Learn, external, TensorFlow, external (et. all) with a Jupyter Notebook, external.

Although it's possible to create a data frame from scratch using Python data structures or NumPy arrays, it's more common in my experience to do so from a file. Fortunately, Pandas can load data from ...

The post details working with ML.NET with Jupyter Notebooks for machine learning projects and .NET for Apache Spark for Big Data with projects in .NET. "The initial set of features we released needed ...

The notebooks come pre-packaged with support for the Azure Machine Learning Python SDK and run in what the company describes as a “secure, enterprise-ready environment.” ...