GithubHelp home page GithubHelp logo

logisticregression's Introduction

LogisticRegression

README Ajit Chavhan 23/11/2020 Logistic Regression Program

File Structure: readme.txt bank_lr bank_binary_logistic_regression analysis

Development Environment: My script was developed RStudio Version 1.3.1056

Usage: Install RStudio. Open file in RStudio and change the code according to you dataset for various situations and run it.

File Description bank_lr- Script file in R language bank_binary_logistic_regression - Report file which demonstrate my approach towards result for bank dataset analysis - This file contains the different outcome of r function to observe the output and act accordingly on bank dataset

objective:- Whether the client has subscribed a term deposit or not

Note :- I have added some png files which are the different graphs on both the datasets for EDA and result observation purpose. Also added the snapshot of both the datasets.

logisticregression's People

Contributors

chavhan avatar

Watchers

 avatar  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.