Giter Club home page Giter Club logo

stockmarket's Introduction

StockMarketAPP

Development of Statistical and Machine Learning App Instruction:

The main task here is to create an app which suits for Statistical and ML analytics. It means that the app should allow you to do some descriptive or predictive analytics on a real dataset. App is designed in the following way: • Importing the data into app. Equivalently, In-built dataset might be used for analytics. • Applying some descriptive analytics techniques on the dataset and visualize the quick insights. • Applying probabilistic model e.g. discrete or continuous probability models on the dataset and visualize the insight. • Applying Machine learning techniques • Visualizing the deep insight in dashboard environment.

stockmarket's People

Contributors

bharatmaheshwari96 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.