Prepare Features and Save in CSV File – Python | Part 02
In this video, you will learn how to extract Principal Component Features of MNIST images and save these features into csv.
Before you watch this video, I recommend to watch the video below first:
1: Load and Read MNIST Images in Python
• Load and Read MNIST Images in Python
In this video, the workspace includes windows 10 and Anaconda with Spyder as Python editor.
MNIST Dataset from Keras:
https://keras.io/api/datasets/mnist/
Principal component analysis (PCA)
https://scikit-learn.org/stable/modul...