2. Principle Component Analysis | PCA Solved Example | PCA Step-by-Step Solution by Mahesh Huddar

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2. Principle Component Analysis | PCA Solved Example | PCA Step-by-Step Solution in Machine Learning by Mahesh Huddar

The following concepts are discussed:
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Principal Component Analysis Solved example,
Principal Component Analysis Numerical example,
PCA solved example,
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PCA Step-by-Step Solution,
PCA Step-by-Step Solved example

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One of the best 💯 videos with clear explanations that I have come across for PCA.

Awesome!

ralhanprateek

Sir, 11.55 time. Step is different from first vedio. Please tell which one is correct ?

Souvik-ri

sir wonderful explanation but one question, why haven't you done the mean centering in the last step

divypareek

In the first pca video you said we have to order the eigen values from highest to lowest and from the highest one we will calculate the pca 1 but you have not ordered the eigen values here... Please rectify the error in the video.

pranabnandi

One difference of this video is that, the normalized e1 (from the previous videos notation) called v1 (same with eigenvector here) but probably just an unnoticed notation. Not big deal. e1={-0.735, 0.678} .
But las step

And the last step is misscalculated. The it skips the mean-centering. Which is not big deal also. It is just an obvious mistake.

omeryldrm

it is amazing sir my all doubts are clear now

tanishmeena

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