GitHub - rkpaira/PCA-using-sklearn: Our aim is to apply PCA for dimension reduction so that we can easily visualize it in 2D. To study this we have use MNIST dataset consist of 42,000 data points and 785 features (labels included)

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Our aim is to apply PCA for dimension reduction so that we can easily visualize it in 2D. To study this we have use MNIST dataset consist of 42,000 data points and 785 features (labels included)

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Our aim is to apply PCA for dimension reduction so that we can easily visualize it in 2D. To study this we have use MNIST dataset consist of 42,000 data points and 785 features (labels included)