PCA In Machine Learning | Principal Component Analysis | Machine Learning Tutorial | Simplilearn

Principal Component Analysis is a crucial technique used in machine learning. This video on Principal Component Analysis in Machine Learning will help you learn the basics of PCA and how it helps to reduce the dimensionality of a dataset. You will understand the essential terminologies and properties of PCA. You will look at an example on PCA and perform a demo using Python.

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[sadiazaman]

Thank you for such a wonderful explanation. Very easy, Straight forward, and TTP.

[putridisperindag]

Hello Splilearn, Thanks for the video. I would like to ask about the use of PCA for dimensionality reduction on datasets. Is PCA apropriate to be used as dimension reduction before data classification with supervised learning (i.e method SVM or NB)? Because I still confused with some articles mention that PCA is unsupervised learning.

[MrMadmaggot]

26:13
so x_pca[:, 0] and x_pca[:, 1] are the benign and malign tumors?
Now in the map? which color is which?

[Kajidataonline]

Thanks for the video. Its very good, may I know, where to get the script and also dataset? Do you provide that or available somewhere. Thanks sir

[veronicanwabufo]

What happens after applying PCA in ML production? If you want to predict just one data point, how do you go about this since the dimension of the data has reduced after applying PCA?

[atchayavenkataraman]

How PCA is used to extract features in high dimension data? Illustrate. This question was once asked in my exams what should I write and how should I explain it, Sir?

[gowthami]

I have few questions can you please help me sir....
We are working on hsi dataset...
The dataset is in mat format how can we convert it into CSV...
How to explore dataset I mean how to see class and features in it ...
How to apply PCA on hyperspectral image (hsi) dataset

[thedoomsday]

How does CUmulative values of eignvalues help us to decide on the optimum number of principal components? What do the eigenvectors indicate?

[ameerhamza-zroc]

Sir, i have a football dataset so for feature selection can i used PCA or can i used other feature selection techniques like wrapper method,