- I am an MSc in Economics student interested in econometrics and topic in applied microeconomics.
marek-chadim Goto Github PK
Name: Marek Chadim
Type: User
Company: Stockholm School of Economics & IIES Stockholm University
Location: Stockholm
Name: Marek Chadim
Type: User
Company: Stockholm School of Economics & IIES Stockholm University
Location: Stockholm
18.06 course at MIT
18.065/18.0651: Matrix Methods in Data Analysis, Signal Processing, and Machine Learning
18.335 - Introduction to Numerical Methods course
A short course on Julia and open-source software development
Course material for the PhD course in Advanced Bayesian Learning
Repo for Yale Applied Empirical Methods PHD Course
A PhD course in Applied Econometrics and Panel Data
PhD Applied Econometrics class taught at UC Berkeley
Figures and code examples from Bayesian Analysis with Python (third edition)
Bayesian Learning course at Stockholm University
Bayesian Data Analysis course at Aalto
Causal Inference 1 Mixtape Session taught by Scott Cunningham
Causal Inference II Mixtape Session taught by Scott Cunningham
Causal Inference 3 Mixtape Session taught by Scott Cunningham
A curated list of causal inference libraries, resources, and applications.
Replication code and downloadable example data sets for The Effect
ausal Inference for the Brave and True.
"Foundations of Computational Economics" course
PhD in Economics course material: introduction to numerical methods
Course 18.S191 at MIT, Fall 2022 - Introduction to computational thinking with Julia
:mortar_board: Path to a free self-taught education in Computer Science!
Lecture slides, notes, assignments, code and data
Codes for case studies for the Bekes-Kezdi Data Analysis textbook
Welcome to DataFrames.jl with Bogumił Kamiński
Data Science in Julia course for JuliaAcademy.com, taught by Huda Nassar
Data Science Specialization Capstone
Demand Estimation taught by Jeff Gortmaker and Ariel Pakes
Design-Based Inference Mixtape Session taught by Peter Hull
DoubleML - Double Machine Learning in Python
Design of Simulations using WGAN
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.