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Calculation of System Risk of Stock Market in Shanghai Stock Exchange
Repository for coursera specialization Applied Data Science with Python by University of Michigan
Coursera class work, Country Level Economics - Part 1 & 2, Hadi Salehi Esfahani
The DataScience Courses from Coursera by John Hopkins University
Repo for Coursera.com online course: R Programming
R Programming course at Johns Hopkins bloomberg school
What you should submit The goal of your project is to predict the manner in which they did the exercise. This is the "classe" variable in the training set. You may use any of the other variables to predict with. You should create a report describing how you built your model, how you used cross validation, what you think the expected out of sample error is, and why you made the choices you did. You will also use your prediction model to predict 20 different test cases. Peer Review Portion Your submission for the Peer Review portion should consist of a link to a Github repo with your R markdown and compiled HTML file describing your analysis. Please constrain the text of the writeup to < 2000 words and the number of figures to be less than 5. It will make it easier for the graders if you submit a repo with a gh-pages branch so the HTML page can be viewed online (and you always want to make it easy on graders :-). Course Project Prediction Quiz Portion Apply your machine learning algorithm to the 20 test cases
Analyzing US Economic Data and Building a Dashboard
Introduction to Python by Filip Schouwenaars
Introduction to R by Jonathan Cornelissen
Introduction to SQL by Nick Carchedi
Covid19 dashboard made using Flexdashboard and Rmarkdown
This application shows the evolution of prices of all items of the Canadian basket of goods and services at the national, provincial and territorial levels.
Implementing a CPPI strategy
Display economic and social indicators found in Current Population Survey microdata
CQF
Assignments submitted for the Certification in Quantitative Finance (CQF) 2016
Certificate in Quantitative Finance (2019 July Cohort)
Downloads materials from CQF portal.
CQF Final Project
Certificate in Quantitative Finance Final Project
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.