Implement Image classification algorithm by applying Principal component analysis
The CIFAR-10 dataset consists of 60000 32x32 colour images in 10 classes, with 6000 images per class. There are 50000 training images and 10000 test images.
Task: Predict correct class for every image in the test dataset