Azarthehulk

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pca-2D-to-1D

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given some data points as x1,x2 and that are in the decimal points
here we will be standeredise the data using the sklearn laibrary standerdiseScaling class,
and doing covariance and then next we calculated the eigen values and eigen vectors from the liner algebra class in the sklearn,
then we applied our pca to cahnge the dimentionality according to their covariance and egenvectors.