Understanding-PCA
Principal Component Analysis is One of the Most Popular Dimensionality Reduction Algorithms used in Machine Learning Which comes under Unsupervised Way of Learning. It is also Used as a way of Feature Extraction where, More Information is Extracted from all the Existing Attributes, in just some 3-4 Attributes using the Concepts of Eigen Values and Eigen Vectors.
How to download and setup Understanding-PCA
Open terminal and run command
git clone https://github.com/sharmaroshan/Understanding-PCA.git
git clone is used to create a copy or clone of Understanding-PCA repositories.
You pass git clone a repository URL. it supports a few different network protocols and corresponding URL formats.
Also you may download zip file with Understanding-PCA https://github.com/sharmaroshan/Understanding-PCA/archive/master.zip
Or simply clone Understanding-PCA with SSH
[email protected]:sharmaroshan/Understanding-PCA.git
If you have some problems with Understanding-PCA
You may open issue on Understanding-PCA support forum (system) here: https://github.com/sharmaroshan/Understanding-PCA/issuesSimilar to Understanding-PCA repositories
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