Giter Site home page Giter Site logo

chandra-ajay / pattern_recognition_course_project Goto Github PK

View Code? Open in Web Editor NEW
0.0 1.0 0.0 16.83 MB

Contains code, summary and necessary theoretical concepts of classifiers built as a part of the Machine Learning course project.

Python 100.00%
bayesian-decision-theory principal-component-analysis bayesian-statistics bayesian-analysis pca image-classification image-recognition character-recognition

pattern_recognition_course_project's Introduction

Pattern Recognition and Machine Learning Course Project

The following two tasks are taken up as a part of this course project:

  1. Character Recognition using Bayesian Classifier
  2. Dimensionality Reduction and Image Classification using Principal Component Analysis

Please go through the summary documents to understand the mathematical concepts involved behind the respective algorithm.

pattern_recognition_course_project's People

Contributors

chandra-ajay avatar

Watchers

avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.