Giter Club home page Giter Club logo

harsh306 / machine-learning Goto Github PK

View Code? Open in Web Editor NEW
1.0 1.0 1.0 26.55 MB

Machine Learning case-studies at WPI. Projects covers the following data science topics such as NLP, Pre-processing, Analytics, visualization, dimension reduction, classification and regression.

Jupyter Notebook 99.99% Python 0.01%
machine-learning deep-learning neural-networks logistic-regression linear-regression pca-analysis random-forest lasso-regression nlp-machine-learning preprocessing

machine-learning's Introduction

This project was a part of my coursework DS 501 (Introduction to Data Science). All projects were done in a team of 5 more details in report.

Contents:

The repository consists of:

  • Data Files
  • Ipython Notebook
  • Technical Report
  • Power Point Presentation

Contact:

[email protected]

machine-learning's People

Contributors

harsh306 avatar

Stargazers

avatar

Watchers

avatar

Forkers

ajinkyapatankar

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.