anthonygachuru Goto Github PK
Name: Anthony.G.M
Type: User
Name: Anthony.G.M
Type: User
This Repo Contains all the exercise files for Data Science Course of 365 Datascience . The repo is split into the relevant folders & there is one exercise folder which contains all the files of that course. Don't forget to star it :D
Simple front-end A/B experiment
Assignments and exercises from Advanced Econometrics 1&2
Advanced-Programming
This project is portryal of applied statistical techniques with python and a great deal of time series analysis.
Udacity Nanodegree sponsored by WorldQuant
Ames Iowa housing price prediction.
Content for Udacity's AI in Trading NanoDegree.
:memo: An awesome Data Science repository to learn and apply for real world problems.
A curated collection of links for economists
A topic-centric list of HQ open datasets. PR ☛☛☛
:sparkles: Build a beautiful and simple website in literally minutes. Demo at http://deanattali.com/beautiful-jekyll
Repository for OSM Lab Boot Camp 2017
The output I created from each module of the Cambridge Data Spark in Data Science.
Series of exercises
Predicting Global Supply Chain Outcomes for Essential HIV Medicines using Machine Learning Techniques. Capstone original project for Udacity Machine Learning Engineer Nanodegree.
Sample files to accompany the FT's Chart Doctor column
Computational Economics with Python
Algorithmic game theory, recursive macroeconomics, machine learning for econometrics
Coding assignments of MOOC on Econometrics on Coursera.
This course provides a graduate level introduction to probability and statistics. The course was designed for economists starting their doctoral education. Edits, comments, and suggestions are welcome.
The CQF program
cqf projects and exercises
Naive crude oil model that utilizes gold, Ruble, Canadian Exchange Rates and does a basic regression
Learning how to apply advanced decision techniques such as real options, Monte Carlo simulation, network concepts from graph theory, probability theory and statistical physics to analyze and predict the behavior of social, economic and transportation networks. Examples include project portfolio management, pharmaceutical drug development, oil and gas investment decisions as well as philanthropic portfolio decisions requiring high-stake tradeoffs in highly uncertain environments.
Data and code behind the articles and graphics at FiveThirtyEight
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.