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




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


Title :  PCA In Machine Learning | Principal Component Analysis | Machine Learning Tutorial | Simplilearn
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Frames PCA In Machine Learning | Principal Component Analysis | Machine Learning Tutorial | Simplilearn





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



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



K S Dakshinaa
Igen
Comment from : K S Dakshinaa


putri disperindag
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 (ie method SVM or NB)? Because I still confused with some articles mention that PCA is unsupervised learning
Comment from : putri disperindag


Sadia Zaman
Thank you for such a wonderful explanation Very easy, Straight forward, and TTP
Comment from : Sadia Zaman


MAD MAGGOT
26:13brso x_pca[:,0] and x_pca[:,1] are the benign and malign tumors? brNow in the map? which color is which?
Comment from : MAD MAGGOT


Veronica Nwabufo
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?
Comment from : Veronica Nwabufo


Binary Coders
Very Helpful :)
Comment from : Binary Coders


akshay sawai
Great Video, please share dataset and tutorial/notebook file, my email id barryflashla1@gmailcom
Comment from : akshay sawai


Mudit Dhakar
@simplilearnPlease provide me the datasethere is my mail id: muditdhakarnmims@gmailcom
Comment from : Mudit Dhakar


Gowtham i
I have few questions can you please help me sirbrWe are working on hsi datasetbrThe dataset is in mat format how can we convert it into CSVbrHow to explore dataset I mean how to see class and features in it brHow to apply PCA on hyperspectral image (hsi) dataset
Comment from : Gowtham i


Abhimanyu
ThankYou for this great video
Comment from : Abhimanyu


atchaya venkataraman
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?
Comment from : atchaya venkataraman


Serafeim L
Nice 👍
Comment from : Serafeim L


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
Comment from : Kajidataonline


10x Growth
Thank you simplilearn
Comment from : 10x Growth


Avinash Singh
Nice video
Comment from : Avinash Singh


Simplilearn
Got a Question on this topic? Let us know in the comment section below 👇 and we'll have our experts answer it for you To learn more about Machine Learning, visit: bitly/3b4fcop
Comment from : Simplilearn



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