PCA in python : I'm looking for a tutorial

Language Help Python
1

Hello folks !

I’m following the ML engineer path and at the moment I’m studying unsupervised learning methods.I’ve some troubles with PCA applications at Python.
Could someone suggest me a tutorial or an article that let me undestand better this item ?
Thank you very much since now.
Grazie !

2

Hi,

What exactly about PCA are you having troubles with. The statistics of it, the linear algebra, the information theory aspect, how to apply it?

3

Hi.

Thank for your help.
The problem is not on the single steps (I’m quite good in maths generally) , but I’ m looking for “something” in which theoric descriptions are mixed with the application codes in Python.
This will help me to make a sketch on the item in order to minimize learning time.
Thank you.

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4

I would go straight to the documentation and then see anything linked by it (as a starting point).

For example, scikit-learn has: sklearn.decomposition.PCA — scikit-learn 1.2.2 documentation

Since you have a fairly good idea in the maths and all you need is code examples, I might even ask chat-gpt for more code examples. Obviously this needs to be cross-checked for blind-spots but the most important ones are mathematical. You could try looking at people’s projects in Kaggle but I find that places like kaggle have sometimes varying levels of technique.

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5

Thank you for your reply.
I will try to check on scikit-learn site as you suggested.
I would like to make this effort because these items aren’‘t so easy.
I would try to schematize items : if there are 10 theory steps to arrive at our goal , I would like to put an example code after each step.
At the moment I’ m not still able to see projects on Kaggle because I’m at 30 percent of the course.

Best regards

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