5 Cool LiveEdu Premium Projects
LiveEdu is a decentralized peer-to-peer project learning network for people to improve their job skills in future technologies. Projects can be watched live or as recorded video. We are applying what Steemit did for blogging to the education market. Team from Amazon and Y-combinator. LinkedIn bought Lynda.com for $1.5 billion and Lynda was founded 20 years ago. LiveEdu is building today the next generation Lynda.com. Existing business and team.
One of the goals of the LiveEdu ICO is to create 10,000 premium projects from the seven topics programming, game development, data analytics, design, augmented and virtual reality, artificial intelligence and cryptocurrencies. Some of the premium projects which can be found on the platform already are listed below.
1)Project Title: Python Data Analytics and Visualization
Ryan Schuetz is a developer from Minneapolis, United States with over eight years of experience. In this tutorial, he covers all facets of building a complete and operational analytical dashboard. Learners will be guided through all the steps and concepts, starting from setting up a new Django project, building an ORM model, business logic, math functions and visualizing data using JS libraries (D3, NVD3, Charts.js). Ultimately learners will be able to create their own data analytics and visualization application.
2) Project Title: How to Create a Dating Web App in Node.js
Igor Kuzmenko is a software engineer from Odessa, Ukraine who resides in Basel, Switzerland. In this tutorial he explains in detail how learners can use Node.js, MongoDB, and React.js to quickly build products. He has about eight years of experience shipping products and has founded two startups. Throughout this highly educational project, Igor will cover all the details of creating a dating website so a learner can build it from scratch, add their own features, and adapt it to their specifications.
3) Project Title: Machine Learning Model: Python Sklearn & Kera
Andrey Bulezyuk is a data science expert from Nuremberg, Germany with over five years of experience in Python. In this tutorial, he teaches learners how to create two simple machine learning applications. They are for solving a classification problem. Nonetheless, it is one of the most complex problems in the world, since the data they are trying to “predict” is stock market data. Learners can take a look at two completely different libraries; Sklearn and Keras. Before they dive into the main task, they can see what a “Hello World” in Machine Learning looks like. After that, they learn numer.ai and use their pre-defined data sets.
4) Project Title: How to Create a Cryptocurrency Trading Bot in Node.JS
Elliot Minns is a software engineer from London with over six years of experience in iOS applications, Node.js, Javascript and C++. In this tutorial he teaches the process of creating a trading bot for cryptocurrency using Node.js. Learners first look at how to create a wallet for Ether, Bitcoin & Litecoin, then add code in to successfully create transactions. They discover a simple yet well known trading algorithm that also considers trading fees and one day rolling historical data.
5) Project Title: How to Integrate Facial Recognition into any DotNet App
Marcus Kern is a programmer from Pennsylvania, United States with over four years experience. In this tutorial he goes over how to use Microsoft Cognitive Services and Computer Vision techniques to provide facial recognition of a photograph.
Learn more about premium projects on LiveEdu in this article.
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