I didn’t have a good answer – I knew that you *could* do linear regression but neural networks, but never had actually done it in practice.

Jon Wood demonstrates how to use ML.NET within Python by using the NimbusML package. This video also gives an example of creating a linear regression model.

NimbusML documentation – https://docs.microsoft.com/en-us/nimbusml/overview

Steve Brunton describes the wide variety of neural network architectures available to solve various problems in this lecture.

Book website: http://databookuw.com/
Steve Brunton’s website: eigensteve.com

Here’s a great tutorial on using TensorFlow to do regression with multiple distinctive attributes.

As we did in the previous tutorial will use Gradient descent optimization algorithm. Additionally, we will divide our data set into three slices, Training, Testing, and validation. In our example, we have data in CSV format with columns “height weight age projects salary”. In this tutorial, we will use […]

Here’s a good code-heavy tutorial that uses the  Gradient descent optimization algorithm. It also explores the idea of splitting data into 3 parts.

Additionally, we will divide our data set into three slices, Training, Testing, and validation. In our example, we have data in CSV format with columns “height weight age projects salary”. Assuming there is a correlation between projects and salary will try to predict the salary given projects completed. You download data using this link: