Title | : | PCA In Machine Learning | Principal Component Analysis | Machine Learning Tutorial | Simplilearn |
Lasting | : | 31.10 |
Date of publication | : | |
Views | : | 37 rb |
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Igen Comment from : K S Dakshinaa |
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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 |
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Thank you for such a wonderful explanation Very easy, Straight forward, and TTP Comment from : Sadia Zaman |
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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 |
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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 |
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Very Helpful :) Comment from : Binary Coders |
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Great Video, please share dataset and tutorial/notebook file, my email id barryflashla1@gmailcom Comment from : akshay sawai |
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@simplilearnPlease provide me the datasethere is my mail id: muditdhakarnmims@gmailcom Comment from : Mudit Dhakar |
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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 |
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ThankYou for this great video Comment from : Abhimanyu |
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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 |
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Nice 👍 Comment from : Serafeim L |
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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 |
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Thank you simplilearn Comment from : 10x Growth |
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Nice video Comment from : Avinash Singh |
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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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