OpenGenus/cosmos

Add code for Principal Component Analysis (PCA)

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#3,686 opened on Oct 1, 2018

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Description

This is a(n):

  • New algorithm
  • Update to an existing algorithm
  • Error
  • Proposal to the Repository

Details:

The task is to add code for Principal Component Analysis (PCA) in any language of your choice (C, C++, Java, Python, Swift, JavaScript, GoLang, Matlab and others.

The path of this code will be: code/artificial_intelligence/src/principal_component_analysis/

If you face any problem, let us know. We are here to help.

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Contributor guide

Research direction
Study the PCA algorithm, understand eigenvectors and eigenvalues, then implement using a language of your choice (e.g., Python with NumPy). Place the code in the specified directory.
Tech stack
pythoncppjavajavascriptgoswift
Domain
machine learningai
Issue type
Feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
3
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
Half day
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Active
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Clear
Prerequisites
GitLinear algebra basicsProgramming in chosen language
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
75