anandachanda Goto Github PK

ml-business-analytics-austin-

Content for Introduction to Machine Learning course offered in the MSBA for working professionals program at UT Austin.

ml-econ-

Individual assignments and lab sessions from course Machine Learning for Econometrics

ml-in-fin-david-puelz-austin-2022

Machine Learning in Finance, Spring 2022

ml-in-metrics-martin-spindler

Collection of lecture notes and excercises for a course "Machine Learning in Econometrics"

ml4econ-lecture-notes-2023

Lecture Notes on ML for Econ

mostly-harmless-replication-in-r-python-julia

Replication of tables and figures from "Mostly Harmless Econometrics" in Stata, R, Python and Julia by vikjam

mth9879-market-microstructure-models

A collection of homeworks of market microstructure models.

oxford-msc-compstat

The third assessed practical for the course Computational Statistics of MSc Statistical Science at University of Oxford in the academic year 2020/21.

part-sol-statistical-computing-with-r-maria-rizzo

Solutions for selected exercises from the book "Statistical Computing with R" by Maria L. Rizzo

poli171-causal-inf-by-yiqing-xu-ucsd

Course Website for "Making Policy with Data" at UCSD

poli273-causal-inf-student-projects-ucsd

Course Website for Causal Inference at UCSD

rethinking-econometrics

social-data-econometrics-ku-2020

Course page for Copenhagen University on econometrics and machine learning 2020

stanford-cs161

Unofficial repo for Design and Analysis of Algorithms, Stanford University, Fall 2017.

statistical-computing

Work related to statistical learning, computational statistics and applications to finance.

stats-for-metrics-ph.d

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.

stats-for-metrics-with-r

ECON 3818 by Kyle Butts @ Boulder Fall 2021

strittmatter-cda

Computational Data Analytics for Economists

strittmatter-cml-course

Causal Machine Learning

strittmatter-machine-learning-course

Machine Learning for Economists and Business Analysts

strittmatter-ml-for-econometrics

strittmatter-wuerzburg

Introduction to Machine Learning for Economists and Business Analysts

structest_w20

MACS 40200 (Winter 2020): Structural Estimation

tunga-kantarci-teaching

Lecture slides in intermediate econometrics, econometric exercises in MATLAB, Workshops for MATLAB, R, Stata

uc-berkeley-extension-courses

UC Berkeley Extension Course Work

ucla-ml-for-econ-by-hua-zhou-2023-w

Course webpage for UCLA Econ 425T (Machine Learning for Economists) 2023 Winter

ug-macro-with-r

Macroeconomics with R at Claremont Graduate University