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This project is an implementation of Principal Component Analysis (PCA) in Python. PCA is a technique for dimensionality reduction and data visualization that aims to find the most important underlying patterns in a dataset.

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Name		Name	Last commit message	Last commit date
Latest commit History 21 Commits
tools		tools
PCA-2-features.ipynb		PCA-2-features.ipynb
PCA-Class.ipynb		PCA-Class.ipynb
PCA-N-features.ipynb		PCA-N-features.ipynb
ReadMe.md		ReadMe.md

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PrincipalComponentAnalysis-Implementation

Implementation of PCA in python

This repository consits of 3 jpynb files:

PCA-2-Features (where i build PCA for 2 features)
PCA-N-Features (where i build PCA for N features)
PCA-Class (where i build generalized PCA class)

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This project is an implementation of Principal Component Analysis (PCA) in Python. PCA is a technique for dimensionality reduction and data visualization that aims to find the most important underlying patterns in a dataset.

python machine-learning analysis python-implementation unsupervised-learning pca-algorithm

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