Principal Component Analysis - PCA (with detailed explanation)
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- Опубликовано: 5 дек 2023
- The Video Timeline:
0.0 - 05:17 Synopsis (Introduction)
05:18 - 13:19 PCA Analysis Demonstrations
13:20 - 24:47 Results and Interpretations
24:48 - 25:19 Closing Remarks
In this video, I demonstrated how to perform Principal Component Analysis, giving a detailed explanation to every feature of the analysis. The application of principal Component Analysis has to do with the reduction of dimension of variables in a dataset, and in this video, I gave detailed description of the PCA, and listed the possible assumptions that a dataset must satisfy for the data to be tenable for the analysis.
After you have seen this video, you should be able to perform PCA and interpret KMO and Bartlett’s Test of Sphericity for sampling adequacy.
The content of this video is detailed and comprehensive, and the demonstration has been simplified to the grassroots.
So, you are hereby advised to see or watch this video to the end. Please, kindly share the link of this video for others to see and also benefit.
If you wish to contact me directly for business purposes, such as Private SPSS Tutorial, or Data Analysis, please use this address to reach me: asktitocan@gmail.com
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This is amazing. Well explained. My biggest question was answered.
Amazing explanation 👏 thanks sir
For you support us,
I'm student learning statistics, i understand what i understand my teacher, thank you again.
All the best
This is explicit. Please will need a video on the test of assumptions in other to carry out a PCA
Ok, I will consider your request. Thanks.
Please sir do you offer online training?
Thanks for seeing my video and I am glad you liked it. Yes, I offer training. But, training by online medium is usually not free, because many resources are involved. However, I would like to know the things you would like to learn. Please, use this email to reach me directly: asktitocan@gmail.com..
Thank you.