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RoboticsClubIITJ / ML-DL-implementation

An implementation of ML and DL algorithms from scratch in python using nothing but NumPy and Matplotlib.
BSD 3-Clause "New" or "Revised" License
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Implement Principal Component Analysis #52

Closed kwanit1142 closed 3 years ago

kwanit1142 commented 3 years ago

A Flexible Unsupervised Method to reduce the dimensionality of Input dataset, alongside preserving the information and minimizing the loss as much as possible.

Reference Literature for understanding ;

https://jakevdp.github.io/PythonDataScienceHandbook/05.09-principal-component-analysis.html

utkarsh0702 commented 3 years ago

Can I try working on this issue.

utkarsh0702 commented 3 years ago

Sure I will

kritikaparmar-programmer commented 3 years ago

Is someone working on this issue?

utkarsh0702 commented 3 years ago

I am working on this issue.

rohansingh9001 commented 3 years ago

@utkarsh0702 keep us updated on your progress and feel free to ask anything in the Gitter channel regarding more clarifications.

utkarsh0702 commented 3 years ago

I have implemented main PCA functionality, trying to implement other functionalities.

kwanit1142 commented 3 years ago

@utkarsh0702 any updates about implementation till now ?

utkarsh0702 commented 3 years ago

I am working on the functionality, but for the past 3 days I can't as I am out of town for some reasons. I will submit the full PCA implementation on Thursday this week.

kwanit1142 commented 3 years ago

Ok, NP..

kwanit1142 commented 3 years ago

Closing the Issue, as it is accomplished. Thanks for contributing @utkarsh0702