databook_python
databook_python copied to clipboard
dynamicslab
IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Steven L. Brunton and J. Nathan Kutz
* Add setup instructions for using the Anaconda package management framework * Passthrough chapter 1 notebooks with Anaconda environment to make sure that all instructions execute correctly
Using broadcasting to subtract the average face from the training faces, makes the code more readable. X = trainingFaces - np.tile(avgFace,(trainingFaces.shape[1],1)).T to: X = trainingFaces - avgFace.reshape(-1,1). avgFace.reshape(-1,1) is an...
Add commented out lines that appear in video at https://youtu.be/MJAvyt9v0g4?t=246, and which seem important to the lesson.
Fixed TensorFlow implementation issues by switching to PyTorch, which aligns better with my expertise
Chapter 1 Section 4 Linear Regression in Python had a graphing parameter that is native from MATLAB ("MarkerSize") and was fixed and switched to ("markersize") for python matplotlib library in...
Metadata
Owner
Metadata
IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Steven L. Brunton and J. Nathan Kutz