This project involves the implementation of efficient and effective polynomial SVC on MNIST data set. The MNIST data comprises of digital images of several digits ranging from 0 to 9. Each image is 28 x 28 pixels. Thus, the data set has 10 levels of classes.
machine-learning
svm
sklearn
machine-learning-algorithms
mnist
mnist-classification
machinelearning
svm-model
svm-classifier
machine-intelligence
svm-framework
svm-polynomial-kernel
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Updated
Dec 24, 2017 - Jupyter Notebook