Code Monkey home page Code Monkey logo

coursera-machine-learning-andrew-ng's Introduction

Coursera-Machine-Learning-Andrew-NG

View Coursera-Machine-Learning-Andrew-NG on File Exchange

This is a repository of my coursera Machine Learning by Standford, Andrew NG course's assignments' solution

This is all written in matlab. The datasets are also uploaded with the excercises

Includes:

  • Linear Regression (one variable and multiple variables)
  • Logistic Regression
  • Regularization
  • Neural networks
  • Support Vector Machine
  • Clustering
  • Dimensionality Reduction
  • Anomaly Detection
  • Recommender System

For more information, please visit: https://www.coursera.org/learn/machine-learning

coursera-machine-learning-andrew-ng's People

Contributors

prasannanatarajan avatar

Stargazers

 avatar

Recommend Projects

  • React photo React

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

  • Vue.js photo Vue.js

    ๐Ÿ–– 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. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

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 โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.