badruddoza Goto Github PK
Name: Syed Badruddoza
Type: User
Company: Texas Tech University
Bio: Assistant Professor at Texas Tech (PhD Economics, MS Statistics and Financial Economics)
Location: Texas
Name: Syed Badruddoza
Type: User
Company: Texas Tech University
Bio: Assistant Professor at Texas Tech (PhD Economics, MS Statistics and Financial Economics)
Location: Texas
Almost Ideal Demand System Estimation
Optimization. Regression using gradient descent. Maximize profit subject to constraints. Example of fitting curves to the unobserved part of the data with economic intuition.
Model cross validation using Caret
I discuss obtaining the reduced form and causal inference in traditional form and machine learning. Treatment effects with machine learning was proposed by Tibshirani, Athey, Friedberg et al. (2019). I also discuss some possible links between structural and machine learning models.
Extensive and accessible COVID-19 data + forecasting for counties and hospitals. 📈
Cleaning data will take 40% of your time. I showed solutions to frequent problems in common platforms. Also discussed web scraping and text mining.
I tried to show some simple but very informative visualizations for complicated data structures here. I mostly used ggplot and gganimate, but the main idea can be applied in Python and Tableau too.
Deep neural networks example (numeric and classifier prediction)
Example of Linear and Quadratic Discriminant Analysis in malignant cell prediction
Exact Affine Stone Index (EASI) demand system estimation (Lewbel and Pendakur 2009) example
Fast cross-validation of Random Forests using ranger
Food Access and Inequality in the United States
A general code of random forests for all purpose simulation
Working with dates in R
Choosing functional form of a hedonic model
My first repository
Random coefficient discrete choice model by Berry Levinsohn and Pakes 1995. Estimates customers' valuation of product features and market power of rival companies without requiring household survey.
Example of supervised neural network algorithm
Solving problems with numerical optimization
Predictive analysis
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.