- I am an MSc in Economics student interested in econometrics and applied microeconomics.
marek-chadim Goto Github PK
Name: Marek Chadim
Type: User
Company: Stockholm School of Economics & IIES Stockholm University
Location: Stockholm
Marek Chadim's Projects
1806
18.06 course at MIT
18065
18.065/18.0651: Matrix Methods in Data Analysis, Signal Processing, and Machine Learning
18335
18.335 - Introduction to Numerical Methods course
advancedscientificcomputing
A short course on Julia and open-source software development
advbayeslearncourse
Course material for the PhD course in Advanced Bayesian Learning
applied-economics
PhD in Economics Empirical Research Course material
applied-methods-phd
Repo for Yale Applied Empirical Methods PHD Course
applied_metrics
A PhD course in Applied Econometrics and Panel Data
are213
PhD Applied Econometrics class taught at UC Berkeley
bap3
Figures and code examples from Bayesian Analysis with Python (third edition)
bayeslearncourse
Bayesian Learning course at Stockholm University
bda_course_aalto
Bayesian Data Analysis course at Aalto
causal-inference-1
Causal Inference 1 Mixtape Session taught by Scott Cunningham
causal-inference-2
Causal Inference II Mixtape Session taught by Scott Cunningham
causal-inference-3
Causal Inference 3 Mixtape Session taught by Scott Cunningham
causal-inference-links
A curated list of causal inference libraries, resources, and applications.
causalbook
Replication code and downloadable example data sets for The Effect
causality-handbook
ausal Inference for the Brave and True.
compecon
"Foundations of Computational Economics" course
computational-economics
MSc and PhD Computational Economics with Julia and MATLAB
computational-thinking
Course 18.S191 at MIT, Fall 2022 - Introduction to computational thinking with Julia
computer-science
:mortar_board: Path to a free self-taught education in Computer Science!
coursework
Lecture slides, notes, assignments, code and data
da_case_studies
Codes for case studies for the Bekes-Kezdi Data Analysis textbook
dataframes
Welcome to DataFrames.jl with Bogumił Kamiński
datascience
Data Science in Julia course for JuliaAcademy.com, taught by Huda Nassar
datasciencecapstone
Data Science Specialization Capstone
demand-estimation
Demand Estimation taught by Jeff Gortmaker and Ariel Pakes
design-based-inference
Design-Based Inference Mixtape Session taught by Peter Hull
doubleml-for-py
DoubleML - Double Machine Learning in Python
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.