Git Product home page Git Product logo

k-means-clustering's Introduction

K-Means-Clustering

The K-Means-Clustering Algorithm SuperDatascience project but retouched by me This repository contains the project organised by SuperDataScience for the purpose of the course machine learning A-Z https://sds-platform-private.s3-us-east-2.amazonaws.com/uploads/P14-Part4-Clustering.zip

Aim: To help determine which customer will buy a particular goods from the mall

Objective: To develop a predictive model that determines the likelihood of a customer buying a particular goods

Packages Scikit learn Pandas Numpy

Models The solution was built on two models -K-Means_Clustering but for Clustering Problems

k-means-clustering's People

Contributors

ajaxclopidia avatar

Watchers

 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.