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An extension of AutoMLPipeline using R libraries for ML and Preprocessing elements
Work related to an analytics competition that I took part in
Intermediate R (slides for Analytics Connect '18)
My notes and solutions to homework of The Analytics Edge course on edX
Prework and In Course Assignments for Analytics Course
Material for 2019 Analytics Summit Machine Learning with R Training
A gallery of animations in statistics and utilities to create animations
This artificial neural network predicts whether a customer will stay with the bank or leave the bank in the next year.
The analysis and prediction of macroeconomic time-series is a factor of great interest to national policymakers. However, economic analysis and forecasting are not simple tasks due to the lack of a precise model for the economy and the influence of external factors, such as weather changes or political decisions. Our research is focused on Spanish speaking countries. In this thesis, we study different types of neural networks and their applicability for various analysis tasks, including GDP prediction as well as assessing major trends in the development of the countries. The studied models include multilayered neural networks, recursive neural networks, and Kohonen maps. Historical macroeconomic data across 17 Spanish speaking countries, together with France and Germany, over the time period of 1980-2015 is analyzed. This work then compares the performances of various algorithms for training neural networks, and demonstrates the revealed changes in the state of the countries’ economies. Further, we provide possible reasons that explain the found trends in the data.
Anova and regression equality
Presentation for ANU Macro Reading Group on Documentation in Python
Example for version-controlled development and sharing of models using AnyMOD
Source codes for book <<<BeginningAlgorithmContests>> Second edition
APES - Advice for Problems in Environmental Statistics
Exercises for the book Applied Predictive Modeling by Kuhn and Johnson (2013)
A Shiny app for mapping School specific variables by Local Education Authority with Leaflet in R
Time series forecasting for common inflators and economic indices using the forecast package in R.
Source Code for 'Applied Analytics through Case Studies Using SAS and R' by Deepti Gupta
DSGE/CGE/VAR/DID/RD/IV/Panel Data
Applied Econometrics and Time Series - Project
Translating ML into Bayes, one line at a time
Repo for Yale Applied Empirical Methods PHD Course
Code to support work for ARE213: Applied Econometrics at UC Berkeley
Code and Resources for "Applied Machine Learning"
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.