#### Neural Networks and Linear Regression

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- March 1, 2020
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On Friday, someone asked me about linear regression with neural networks. 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. Promising to learn more, I came across this video by giant_neural_network on YouTube.

Read More#### Use ML.NET in Python to Create a Linear Regression Model with NimbusML

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. Notebook – https://github.com/jwood803/MLNetExamples/blob/master/MLNetExamples/Notebooks/NimbusML/Regression.ipynb NimbusML documentation – https://docs.microsoft.com/en-us/nimbusml/overview

Read More#### Neural Network Architectures

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

Read More#### Regression Using Tensorflow and Multiple Distinctive Attributes

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 […]

Read More#### Regression Using Tensorflow and Partition of Data for Robust Validation.

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 […]

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